Project Portfolio

Cloud-DevOps/MLops Engineer 07/2022 - Present
Compliance Domain Led the design and implementation of a cloud-native product ecosystem
on AWS, involving full infrastructure provisioning, service automation,
and transitioning from a monolithic system to a scalable,
microservices-based architecture.
➢ Designed visual architecture workflows for an internal enterprise
security platform, ensuring clear system visibility and scalability.
➢ Took a cost-conscious approach while building cloud infrastructure,
resulting in optimized resource allocation and reduced overhead in
AWS.
➢ Made strategic use of AWS-native offerings combined with
industry-standard DevOps tools to streamline deployment and
operations — including services like Lambda, EKS, RDS, EC2, S3,
API Gateway, and tools like Jenkins, GitLab, Docker, ELK, and
scripting with Python and Bash.
➢ Implemented role-based access controls and refined security
policies across cloud and on-prem resources to maintain strong
governance and compliance across environments.

Security Domain Designed a secure and scalable cloud infrastructure to support a SaaS
application, focusing on high availability and private access for
subscribers. Contributed to automation, multi-cloud deployment, and
integration of modern DevOps tools to streamline operations.
➢ Built and deployed cloud architecture for an enterprise-grade
security product across AWS and Azure.
➢ Automated infrastructure setup using Terraform and managed
SaaS delivery with CloudFormation templates.
➢ Configured VPNs, VPCs, routing, and NAT instances to enable
controlled network access.
➢ Leveraged various AWS and Azure services for optimized
performance and scalability.
➢ Deployed OpenShift clusters to support containerized workloads in
production.
➢ Wrote Python and Bash scripts for task automation and Jenkins
support.
➢ Integrated Argo CD for GitOps-based continuous deployment and
seamless rollback.

Yusuf Shaikh
Cloud-Devops/MLops

Cloud Devops Engineer 07/2019 - 07/2022
Security Domain Focused on supporting and evolving platform infrastructure with an
emphasis on automation, deployment efficiency, and observability.
Worked across multiple environments to maintain robust DevOps
pipelines while ensuring system consistency and performance.
➢ Replaced existing logging solution with a custom ELK setup,
improving system observability and log management.
➢ Developed CI/CD workflows using Jenkins and GitHub Actions to
streamline build and release processes.
➢ Set up automated alerting for service-level insights and issue
detection using ElastAlert.
➢ Created script using tools such as Bash and Python for
infrastructure support, data handling, and debugging.
➢ Deployed and managed Argo CD to implement GitOps practices
across environments.
➢ Used SaltStack for automating system configurations and
maintaining infrastructure state.
➢ Administered Kubernetes clusters through Rancher to manage
application lifecycles.
➢ Built pipelines to support automation workflows for Kubernetes.
➢ Managed artifact storage and container registries through JFrog
Artifactory.
➢ Maintained team operations through documentation, runbooks, and
knowledge sharing.
➢ Operated within AWS and GCP environments to support
multi-cloud infrastructure.
➢ Handled infrastructure provisioning using Terraform and Terragrunt
for clean and reusable IaC.

HealthCare Domain Leveraging technology to bridge healthcare providers and patients
through secure digital channels, this project focused on building a
robust cloud backbone and automating deployment processes for
smooth, scalable virtual consultations.
➢ Administered a wide range of Azure services including virtual
networks, storage accounts, CDN, serverless functions,
CosmosDB, virtual machines, container registries, and Kubernetes
clusters.
➢ Established cloud infrastructure on Microsoft Azure based on
detailed design specifications.

Yusuf Shaikh
Cloud-Devops/MLops

➢ Created reusable Terraform configurations to provision and
manage resources across different environments efficiently.
➢ Packaged and deployed essential services like reverse proxies,
monitoring tools, and microservices using Helm charts.
➢ Automated application build and deployment using Jenkins, Azure
DevOps, and Bitbucket Pipelines with support for various
languages and frameworks.
➢ Configured and maintained Azure MySQL databases to enable
user authentication and data handling for Keycloak.
➢ Set up Nexus repositories to manage frontend package lifecycles,
enhancing web application builds.
➢ Managed JFrog Artifactory as a Maven repository for backend
microservices dependency management.

Senior Devops Engineer 03/2018 - 07/2019
Identity Management Domain Automate infrastructure deployment to deliver secure, reliable, and

scalable solutions that meet high availability standards.
➢ Designed and maintained infrastructure as code using Terraform
and Terragrunt for consistent environment provisioning.
➢ Integrated Datadog to monitor systems, set up alerts, and create
comprehensive dashboards for real-time insights.
➢ Efficiently managed deployment of thousands of applications using
Argo CD to support continuous delivery at scale.
➢ Utilized Istio to implement a service mesh for improved traffic
management and security between microservices.
➢ Built and administered EKS clusters with multiple worker nodes,
ensuring optimal performance and stability.
➢ Developed Argo CD workflows with Kustomize to customize
Kubernetes application deployments.
➢ Created GitHub Actions pipelines automating code quality checks,
Terraform validations, formatting, and GitOps-based CD.
➢ Executed seamless version upgrades and release management
strategies to minimize downtime.
➢ Managed secrets and credentials securely using Vault and
cloud-based secret management solutions.
➢ Applied industry best practices to achieve

Skill Set

• CI/CD
• DevOps
• GCP

Project Portfolio

Project: Secure Cloud-Based Enterprise Operations Platform
Security Architecture Design: Led end-to-end security architecture for enterprise workflow
platform, implementing multi-layer security controls across application, infrastructure, and network
layers
Identity & Access Management: Designed and implemented comprehensive IAM strategy using
SAML 2.0 and ADFS integration, establishing RBAC for 500+ users across multiple security
domains

API Security Implementation: Secured 15+ RESTful APIs with mTLS, OAuth 2.0, and signed token
authentication, ensuring secure third-party integrations and data exchange controls
Threat Modeling & Risk Assessment: Conducted comprehensive threat modeling exercises and
vulnerability assessments, identifying and mitigating 25+ security risks across the application
stack
Secure SDLC Integration: Established secure code review processes and integrated SAST/DAST
tools into CI/CD pipelines, achieving 40% reduction in security vulnerabilities
Data Protection: Implemented AES-256 encryption for data at rest and TLS 1.3 for data in transit,
ensuring comprehensive data protection across all communication channels
Compliance Management: Led GDPR compliance initiatives and implemented audit logging
mechanisms, ensuring regulatory compliance and data privacy protection
Project: Secure Enterprise Resource Planning (ERP) System
Infrastructure Security: Designed secure on-premise infrastructure with network segmentation,
firewall configurations, and endpoint protection for multi-departmental ERP system
Database Security: Implemented comprehensive SQL Server security hardening, including
encryption, access controls, and audit logging for sensitive financial and HR data
Third-Party Integration Security: Conducted vendor risk evaluations and implemented secure
API configurations for external system integrations, handling 1000+ daily secure transactions
Incident Response: Developed and maintained incident response plans, conducted quarterly
tabletop exercises, and led root cause analysis for security incidents
Windows System Hardening: Collaborated with system administrators to configure and harden
Windows OS, implementing security baselines and endpoint protection strategies
Backend Development withSecurity Focus (Jan 2019 – Dec 2023)
Wanderleaf Technologies - Security-Focused API Developer
Project: Secure CRM System with Compliance Framework
Application Security: Implemented comprehensive application-layer security for CRM system,
addressing OWASP Top 10 vulnerabilities and establishing secure API endpoints
Authentication & Authorization: Designed JWT-based authentication system with RBAC
implementation, ensuring secure access control for customer data and sales workflows
Data Protection Compliance: Implemented data protection measures for customer information,
ensuring compliance with privacy regulations and secure data handling practices
Security Monitoring: Established comprehensive audit logging and security monitoring for all API
interactions and data access patterns

Secure Integration: Designed secure integrations with third-party email and marketing platforms,
implementing data exchange controls and vendor security assessments
Project: Multi-Vendor E-Commerce Platform Security
High-Traffic Security: Implemented security architecture for e-commerce platform handling
200+ vendors and 10,000+ daily transactions with comprehensive fraud detection
Payment Security: Secured payment gateway integrations (PayPal, Stripe, Razorpay) with PCI
DSS compliance considerations and secure webhook handling
API Versioning Security: Implemented secure API versioning strategies maintaining backward
compatibility while addressing security vulnerabilities
Data Processing Security: Secured CSV data processing workflows with input validation,
sanitization, and secure file handling practices
Project: HIPAA-Compliant Healthcare Management APIs
Regulatory Compliance: Led HIPAA compliance implementation for healthcare APIs, ensuring
comprehensive data protection and audit trail requirements
Secure System Integration: Designed secure integrations with insurance systems and third-party
healthcare providers, implementing strict data exchange controls
Encryption & Access Control: Implemented advanced encryption for Electronic Health Records
(EHR) and established granular RBAC for healthcare professionals
Security Migration: Successfully migrated legacy systems to secure ASP.NET Core
implementation, improving security posture by 35% while maintaining performance
Project: Financial Analytics Platform Security
High-Security Architecture: Developed secure financial analytics APIs with real-time data
protection and regulatory compliance for financial services
External Data Security: Implemented secure integrations with multiple financial data providers,
ensuring data integrity and secure API communications
Performance Security: Optimized security controls to maintain sub-10-second response times
while ensuring comprehensive security monitoring and logging

Skill Set

• DevOps
• Security Controls

Project Portfolio

Experienced AWS & DevOps Architect with a proven record
of delivering scalable, secure, and cost-optimized cloud
solutions for enterprise clients. Specializes in Architectural
Decision Records (ADRs), Cloud Design Records (CDRs), cloud
migration planning, cost estimation, and optimization
strategies. Played a key role in helping clients adopt modern
cloud infrastructure by migrating legacy on-premise
environments to AWS, ensuring minimal downtime, increased
agility, and long-term scalability.
• Led the setup of AWS multi-account environments and
Landing Zones, embedding security, governance, and
compliance from day one. Designed and implemented
robust Infrastructure as Code (IaC) solutions using Terraform
and CloudFormation, enabling consistent and repeatable
deployments across environments. Automated provisioning
pipelines and environment spin-ups, significantly reducing
time-to-market for critical services.
• Expert in designing and developing end-to-end Azure
Synapse pipelines based on business requirements.
• Built and optimized CI/CD pipelines using GitHub Actions and
Bitbucket for streamlined application delivery and testing
workflows. Architected microservices-based applications
using Docker and Kubernetes on AWS EKS, ensuring high
availability, resilience, and easy scalability across regions.
Migrated traditional VM-based workloads to modern
containerized platforms with zero disruption to end users.
• Skilled in analyzing SQL Server queries, procedures, and
optimizing Synapse workflows for performance and quality.
• Hands-on experience in setting up workflow dependencies to
ensure seamless data flow and job orchestration.

Cloud service selection
Microservices
Security Foundations
Design Cloud Solution
Cloud Migrations
Distributed System
Kubernetes
Data storage fundamentals
Linux & Windows Administration
Networking fundamentals
Designing five nines Cloud solutions
Relational and No-Relational DBs
Load Balancers & Elasticity
Cloud Formation
Cloud Front (CDN)
CloudWatch
CloudTrail
Design the HA / DR strategies.
Route53
Automation
Presentation Skills
Agile fundamentals
Continuous Integration and Continuous
Delivery (CI/CD)
Git
Jenkins
EKS
Docker
Prometheus
Grafana
Terraform
Python

SHARMA || 9+ year
Cloud Architect | DevOps | Microservices |

• Developed automation scripts in Python, Bash, and
PowerShell for operational efficiency, deployment
orchestration, and infrastructure monitoring. Integrated
monitoring and alerting using Datadog and AWS
CloudWatch for real-time visibility and incident management.
Enforced DevOps culture by aligning cross-functional teams
through regular ADR reviews and cloud strategy sessions.
• Decent experience in building scalable ETL/ELT processes
using Spark Pools and transforming raw data into structured
formats.
• Managed and optimized AWS services such as Lambda, S3,
RDS, IAM, VPC, and CloudWatch, ensuring high-performance,
secure, and cost-effective operations. Led cloud cost
optimization initiatives by implementing tagging strategies,
rightsizing, and usage analysis—helping clients save
thousands in monthly cloud spend.
• Good in creating detailed data mapping documents and
implementing complex transformation and validation logic.
• Whether modernizing legacy systems, building greenfield
cloud-native apps, or optimizing DevOps practices,
consistently delivers value by aligning cloud architecture with
business goals and engineering excellence.

BitBucket
ECS/ ECR
Emotional Intelligence
Communication (Verbal & Written)
NewRelic

❘ EDUCATION
National Institute of Opening Schooling
Secondary Certificate (10th
Higher Secondary Certificate (12th)
National Institute of Opening Schooling
Bachelor of Arts
Indian Education Centre
Bachelor of Arts: General

- AWS Solutions Architect
07/2023 - 11/2023 ❘ CERTIFICATIONS
• Designed scalable and cost-effective cloud solutions on AWS,
aligning with clients' business goals and requirements.
• Implemented IaC practices using AWS CloudFormation or
Terraform to automate infrastructure provisioning and
management, reducing deployment times and minimizing
errors.
• Architecting and deploying ADFS identity solutions within the
AWS environment, ensuring seamless design and
implementation.
• Implemented AWS security best practices, including IAM
policies, encryption, and compliance frameworks, ensuring
data protection and regulatory adherence.
• Architecture HA and DR solutions using AWS services like AWS
Elastic Load Balancing, Amazon RDS Multi-AZ, and AWS
Backup for business continuity.
• Established CI and CD pipelines using tools like Bitbucket,
GitHub Action, or Azure DevOps to automate software
delivery.
Orchestrated Docker containers with Kubernetes or Amazon
ECS, enhancing application scalability, and facilitating
efficient deployment.
• Implemented robust monitoring and logging solutions using
tools like Prometheus, Grafana, AWS CloudWatch, and ELK
stack for real-time insights into system health.
• Employed tool like Ansible for configuration management,
ensuring infrastructure consistency and reliability.
• Led PoCs and demonstrations to demonstrate the feasibility
and benefits of proposed solutions, aiding in decision-making.
• Demonstrated deep technical knowledge of AWS services
and DevOps practices to instill confidence in clients and
ensure solution feasibility.

AWS Certified Solution Architect - Associate
CKA (Certified Kubenetes Administrator)
TOGAF 10 Foundation and Practitioner
AZ-305: Designing Microsoft Azure
Infrastructure Solutions

- Cloud Solution Architect |

DevOps
05/2023 - 07/2023
• In my role as a Cloud Architect, I collaborate closely with key
stakeholders, including Product Owners, Project Managers,
and Directors of the Sales department. In addition, I provide
leadership to the Engineering team, taking charge of
end-to-end project execution.
• Focus's on enhancing network performance, ensuring
security, and establishing seamless connectivity within AWS
environments.
• Working alongside the Sales team, I actively engage in
comprehending client requirements and gathering essential
information. Drawing upon my expertise, I collaborate with
Product Owners to develop project roadmaps, ensuring
alignment with client expectations. This involves designing
and proposing innovative solutions that address client needs
and presenting them to both Product Owners and clients for
consideration.
• As the leader of the DevOps team, I oversee critical areas
such as pipeline establishment, microservices architecture
design, and release management. By implementing efficient
and scalable systems, I facilitate seamless integration and
deployment, contributing to the overall success of the
development lifecycle.
• Accomplished AWS Architect specializing in network design
and optimization for cloud environments.
• Employ a security-first approach to network design,
implementing robust security measures and best practices to
safeguard critical data and resources.
• Furthermore, my involvement extends to migration projects,
encompassing diverse strategies like lift-and-shift,
re-platforming, and transforming monolithic architectures into
microservices. Through meticulous planning and execution, I
spearhead these initiatives, enabling clients to harness the
advantages of modern cloud environments.
• Beyond project execution, I actively engage in automation
tasks using tools such as Ansible, shell scripting, Python, and
PowerShell. Leveraging these technologies, I streamline
operations, enhance efficiency, and drive continuous
improvement. Additionally, I focus on integrating the
proposed solutions through the use of Terraform or
CloudFormation, ensuring seamless implementation within the
cloud infrastructure.
• As a Lead Cloud Architect, my comprehensive skill set,
project management acumen, and leadership abilities
enable me to excel in overseeing end-to-end project
delivery. From initial client engagement, requirements
gathering, and solution design to migration projects,
automation, and seamless integration, I play a pivotal role in
orchestrating successful cloud initiatives.
Furthermore, as a Lead Cloud Architect, I leverage my
expertise to design comprehensive solution diagrams based
on the information gathered from clients. These solution
diagrams serve as visual representations of the proposed
architecture, providing stakeholders with a clear
understanding of the intended system design.
• In addition to my broad range of cloud architecture skills, I
possess in-depth proficiency in various AWS services. This

includes Lambda, AWS Glue, Athena, RDS, DynamoDB, and
cost management tools and lot more. With a strong
command over these technologies, I can effectively utilize
their capabilities to architect and optimize cloud solutions,
ensuring efficient and cost-effective implementations.
- Sr. Manager | DevOps Architect | Solution Architec
04/2022 - 04/2023
• Demonstrated track record of designing and implementing
highly available and scalable cloud infrastructure for
complex, mission-critical applications
• Worked with DevOps teams to implement CI/CD pipelines
using Bitbucket, JUnit, Git, PHPUnit, Maven, and other tools
• Migrated on-premises applications to AWS, re-architecting
applications to leverage AWS services and minimize costs
• Created and maintained Infrastructure as Code (IaC) using
AWS CloudFormation, Terraform, and Ansible
• Completed a project to set up monitoring and alerting for a
client's infrastructure using Prometheus and Grafana
• Defined security best practices and implemented them
across AWS services, including IAM, VPC, S3, AWS WAF,
IDS/IPS, DDoS Protection, SSL certs and Encryption

Project Lead | Cloud Solution Architect
01/2015 - 04/2022
• Accomplished cloud leader with a track record of designing
and migrating AWS-based solutions.
• Led teams of 5 engineers and senior engineers to deliver
successful projects.
• Expert in coordinating project execution, ensuring 100%
on-time delivery, and meeting contractual commitments.
• Proficient in cloud architecture, infrastructure security, and
network design with a strong AWS foundation.
• Skilled in implementing design patterns for distributed systems,
including Kubernetes (K8S) infrastructure.
• Designed, developed, and maintained K8S infrastructure for
secure, highly available (HA) and disaster recovery (DR)
environments.
• Led projects with a focus on data analysis to identify
opportunities for improvement.
• Successfully re-hosted, re-platformed, and refactored
on-premises applications for cloud migration.
• Provided guidance and support to engineering teams for
automated cloud infrastructure provisioning using DevOps
tools like Git, Jenkins, Docker, and Terraform.
- Lead Administrator
11/2013 - 01/2015
• Set clear team goals and expectations on projects and
delegate tasks and set deadlines, monitor team
performance, and report on metrics and listen to their
feedback and resolve any issues\ blocker or conflicts
• Responsible for day-to-day administration duties, including

Windows Active Directory object maintenance such as
Domain Controllers, DNS, user authentication, and other
operating systems as needed
- Technician Network Services
01/2009 - 11/2013
• I worked with a team that remotely supported thousands of
users
• Troubleshoot client issues and escalated tickets if needed or
placed a service call if the matter was identified as a
hardware concern, followed-up with clients to ensure
satisfaction with action taken

Skill Set

• Commerce Cloud
• Nodejs
• Reactjs

Project Portfolio

 Project-1:

Current Project: since October 2018
Domain : Banking and Finance
Role : Mainframe Developer

 ROLES & RESPONSIBILITIES
o Drive best practice, quality and consistency within design and development
phases.
o Analysing the stories on timely basis.
o Involved in database design, coding, code review and peer testing.
o Fixing the Internal and external bugs and release to the client on time.
o Working on having the Defect fixes and Spike analysis and code changes.
o Ensure the best possible performance, quality, and responsiveness of the
applications.
o Help maintain code quality, organization.
o Implementing the code in production and providing post-production support.
o Help the team in technical issues.
o Mentoring the team and providing task updates to the Onsite SME.
o Attend Daily stand up meetings and interacting with client to complete the
assigned stories in given enhancements.
o Involved in Agile ceremonies with whole team , product owner and other stake
holders.
 Project-2:
Previous project: since 2016
Domain : Banking
Role : Mainframe Developer /Application Support

 ROLES & RESPONSIBILITIES
o I should responsible for analyzing the code and making code changes, testing and
till Deploy the code to Production.
o Worked on the Code changes.
o Drive best practice, quality and consistency within design and development
phases.
o Worked 24*7 shifts to support all production activities and works to fix the
production issues.
o Ensure the best possible performance, quality, and responsiveness of the
applications.

Sensitivity: Internal & Restricted
o Help maintain code quality, organization.
o Mentoring the team and providing task updates to the Onsite SME.
o Resolve the First line issues.
o Able to Find the Root cause for the issue. If it's a bug will create Change
ticket in Service-now tool.
o Involved in incident Management.
o Analyzing the issue and fixing the issue on timely basis.

Skill Set

• data analytics
• ServiceNow

Project Portfolio

Projects

MontyCloud
Role: Senior Data Engineer
Tech Stack : Python,SQL,Lambda, Treasure Data , CDP,Digdag,
dbt,Pandas,PyCharm,Docker,WebSockets, AWS ,S3, EC2, CloudWatch, Lambda, SNS, SQS, REST APIs
Description:
MontyCloud is a cloud-native platform that delivers scalable, event-driven solutions using AWS
services. It utilizes the MERN stack to develop high-performance, full-stack applications while
integrating real-time features and serverless computing. The platform is designed for efficient data
processing and analytics, making it suitable for large-scale cloud workloads and enterprise-level
systems.
Responsibility
● Develop and maintain scalable, event-driven solutions using AWS services.
● Design and implement high-performance, full-stack applications with the MERN stack.
● Integrate real-time features and serverless computing for enhanced performance.

● Ensure efficient data processing and analytics for large-scale cloud workloads.

● Collaborate with cross-functional teams to optimize platform functionality.
● Implement best practices for cloud security, data governance, and compliance.
● Troubleshoot and resolve issues to ensure platform reliability and scalability.

Swim-Time
Role: Senior Data Engineer
Tech Stack: Python,Lambda,SQL, Digdag,CDP, dbt,Treasure Data,AWS, Django,
DynamoDB, Pycharm, Git, Slack,
Jira, Cron job, Apache Airflow, Docker, PySpark
Description: This project is responsible for booking your class for swimming. This project helps
you to book class comfortably for swimming. You need to book your class with a suitable
instructor from which you want to learn swimming. For that, you need to make payment via cash
or card on the platform you need to choose the options and make at least the % of the amount
that the instructor set. You can also book a class as a complete course and you can book a class
for individual days also on the days only on which the instructor is available. Instructors can also
add break time on different days.
Responsibility

● Developed and maintained data pipelines for managing class bookings and instructor schedules.
● Implemented Airflow-based workflows to automate booking validation and payment processing.
● Designed and optimized a DynamoDB database for efficient storage and retrieval of class
schedules.
● Created ETL pipelines using PySpark for data analytics and reporting on user engagement.
● Integrated Dockerized microservices for seamless deployment and scaling.
● Ensured secure payment processing through robust data encryption and AWS best practices.

● Makaan
Role: Senior Data Engineer
Tech Stack: Python, Flask, Lambda, SQL ,CDP,Shell Scripts, PostgreSQL, Pycharm,
postman, redis,

Celery, Apache, Treasure Data,Celery, Redis, Third party API Airflow,
Docker
Description: This project is responsible for booking the property according to your comfort and
at your suitable location. In this project, you can buy property you can sell out the property, and
rent as well. Here we have two sections in this project one for booking and selling, and the other
one is for investment if a user wants to invest some amount he can do that very easily, and
according to his investment, we will provide them the profit and all things on the portal.
Responsibility

● Built and optimized PostgreSQL-based data models for property listings, transactions, and
investments.
● Developed ETL workflows using Airflow to process and transform real estate data.
● Integrated Redis and Celery for background job processing and real-time property availability
updates.
● Created Shell scripts for automating data extraction and loading from third-party APIs.
● Deployed and maintained the application using Docker, ensuring high availability and scalability.
● Designed data validation and fraud detection mechanisms for secure transactions.

● Betrics.io
Role: Data Engineer
Languages: Python,Digdag,SQL,Django,CDP, PostgreSQL, Pycharm, PgAdmin, Slack,
Zoom,
Jira, Docker, PySpark, S3, SNS, SQS, SonarQube, Celery, Redis
Description: Developed a dynamic and responsive betting website catering to NFL and NBA
matches. Ensured minimal delays to offer users the best prices, providing a seamless experience
for placing bets without any interruptions.
Responsibility

● Developed data pipelines using PySpark to process real-time betting data.
● Implemented Django Rest Framework (DRF) APIs for managing betting odds and user
transactions.

● Utilized AWS S3 for data storage, with SQS and SNS for event-driven notifications.
● Deployed Celery and Redis for handling background tasks like bet validation and user
notifications.
● Integrated SonarQube for code quality analysis and performance optimization.
● Automated cron jobs for periodic updates and data cleanups.

● Dashible
Role: Data Engineer
Languages: Python,Digdag,Lamda,Treasure Data,CDP, FastAPI, MongoDB, Pycharm,
VScode, Slack,
ES, Jira,Apache Airflow, Shell Scripts, OpenStack, Bit Bucket CI, Zappa
Description: This is an application that functions like a GPT. Users can inquire about anything
related to the business, and the system provides answers based on embeddings created from
scraped pages. Users can select a location and view all nearby businesses to gather the
information they need.
Responsibility

● Built FastAPI-based microservices for real-time business searches.
● Designed MongoDB schemas for storing business embeddings and metadata.
● Developed Airflow DAGs to automate data scraping and indexing processes.
● Integrated Elasticsearch for high-speed querying and full-text search capabilities.
● Utilized Bitbucket CI/CD pipelines for continuous integration and deployment.
● Implemented serverless deployment using Zappa on AWS Lambda.

● Linework
Role: Data Engineer
Tech Stack: Kubernetes, Treasure Data,Aws, Docker, GitLab, Restful API, Aws
glue,Lambda, Cloudwatch,Python,Apache Airflow, Pyspark, MySQL,
GraphQL.

Description: Linework is a versatile app that acts as a one-stop solution for various needs. It
functions as a marketplace for products, services, and art, along with offering social networking and
crypto-based banking features. The application is divided into three main components: E-commerce,
Social Media, and Web3. In essence, Linework aims to simplify and connect various aspects of daily

life in a single, user-friendly platform.
Responsibility
● Developed and optimized PySpark data pipelines for handling high-volume transactions.
● Designed GraphQL APIs to provide seamless data access across multiple services.
● Implemented AWS Glue ETL jobs for processing and transforming large datasets.
● Set up Kubernetes-based container orchestration for scalable service deployment.
● Monitored system performance using AWS CloudWatch and implemented alerts for data
anomalies.

Skill Set

• API Testing using Postman
• Aws
• DevOps
• Graphql
• Kubernetes

Project Portfolio

Projects

MontyCloud
Role: Senior Data Engineer
Tech Stack : Python,SQL,Lambda, Treasure Data , CDP,Digdag,
dbt,Pandas,PyCharm,Docker,WebSockets, AWS ,S3, EC2, CloudWatch, Lambda, SNS, SQS, REST APIs
Description:
MontyCloud is a cloud-native platform that delivers scalable, event-driven solutions using AWS
services. It utilizes the MERN stack to develop high-performance, full-stack applications while
integrating real-time features and serverless computing. The platform is designed for efficient data
processing and analytics, making it suitable for large-scale cloud workloads and enterprise-level
systems.
Responsibility
● Develop and maintain scalable, event-driven solutions using AWS services.
● Design and implement high-performance, full-stack applications with the MERN stack.
● Integrate real-time features and serverless computing for enhanced performance.

● Ensure efficient data processing and analytics for large-scale cloud workloads.

● Collaborate with cross-functional teams to optimize platform functionality.
● Implement best practices for cloud security, data governance, and compliance.
● Troubleshoot and resolve issues to ensure platform reliability and scalability.

Swim-Time
Role: Senior Data Engineer
Tech Stack: Python,Lambda,SQL, Digdag,CDP, dbt,Treasure Data,AWS, Django,
DynamoDB, Pycharm, Git, Slack,
Jira, Cron job, Apache Airflow, Docker, PySpark
Description: This project is responsible for booking your class for swimming. This project helps
you to book class comfortably for swimming. You need to book your class with a suitable
instructor from which you want to learn swimming. For that, you need to make payment via cash
or card on the platform you need to choose the options and make at least the % of the amount
that the instructor set. You can also book a class as a complete course and you can book a class
for individual days also on the days only on which the instructor is available. Instructors can also
add break time on different days.
Responsibility

● Developed and maintained data pipelines for managing class bookings and instructor schedules.
● Implemented Airflow-based workflows to automate booking validation and payment processing.
● Designed and optimized a DynamoDB database for efficient storage and retrieval of class
schedules.
● Created ETL pipelines using PySpark for data analytics and reporting on user engagement.
● Integrated Dockerized microservices for seamless deployment and scaling.
● Ensured secure payment processing through robust data encryption and AWS best practices.

● Makaan
Role: Senior Data Engineer
Tech Stack: Python, Flask, Lambda, SQL ,CDP,Shell Scripts, PostgreSQL, Pycharm,
postman, redis,

Celery, Apache, Treasure Data,Celery, Redis, Third party API Airflow,
Docker
Description: This project is responsible for booking the property according to your comfort and
at your suitable location. In this project, you can buy property you can sell out the property, and
rent as well. Here we have two sections in this project one for booking and selling, and the other
one is for investment if a user wants to invest some amount he can do that very easily, and
according to his investment, we will provide them the profit and all things on the portal.
Responsibility

● Built and optimized PostgreSQL-based data models for property listings, transactions, and
investments.
● Developed ETL workflows using Airflow to process and transform real estate data.
● Integrated Redis and Celery for background job processing and real-time property availability
updates.
● Created Shell scripts for automating data extraction and loading from third-party APIs.
● Deployed and maintained the application using Docker, ensuring high availability and scalability.
● Designed data validation and fraud detection mechanisms for secure transactions.

● Betrics.io
Role: Data Engineer
Languages: Python,Digdag,SQL,Django,CDP, PostgreSQL, Pycharm, PgAdmin, Slack,
Zoom,
Jira, Docker, PySpark, S3, SNS, SQS, SonarQube, Celery, Redis
Description: Developed a dynamic and responsive betting website catering to NFL and NBA
matches. Ensured minimal delays to offer users the best prices, providing a seamless experience
for placing bets without any interruptions.
Responsibility

● Developed data pipelines using PySpark to process real-time betting data.
● Implemented Django Rest Framework (DRF) APIs for managing betting odds and user
transactions.

● Utilized AWS S3 for data storage, with SQS and SNS for event-driven notifications.
● Deployed Celery and Redis for handling background tasks like bet validation and user
notifications.
● Integrated SonarQube for code quality analysis and performance optimization.
● Automated cron jobs for periodic updates and data cleanups.

● Dashible
Role: Data Engineer
Languages: Python,Digdag,Lamda,Treasure Data,CDP, FastAPI, MongoDB, Pycharm,
VScode, Slack,
ES, Jira,Apache Airflow, Shell Scripts, OpenStack, Bit Bucket CI, Zappa
Description: This is an application that functions like a GPT. Users can inquire about anything
related to the business, and the system provides answers based on embeddings created from
scraped pages. Users can select a location and view all nearby businesses to gather the
information they need.
Responsibility

● Built FastAPI-based microservices for real-time business searches.
● Designed MongoDB schemas for storing business embeddings and metadata.
● Developed Airflow DAGs to automate data scraping and indexing processes.
● Integrated Elasticsearch for high-speed querying and full-text search capabilities.
● Utilized Bitbucket CI/CD pipelines for continuous integration and deployment.
● Implemented serverless deployment using Zappa on AWS Lambda.

● Linework
Role: Data Engineer
Tech Stack: Kubernetes, Treasure Data,Aws, Docker, GitLab, Restful API, Aws
glue,Lambda, Cloudwatch,Python,Apache Airflow, Pyspark, MySQL,
GraphQL.

Description: Linework is a versatile app that acts as a one-stop solution for various needs. It
functions as a marketplace for products, services, and art, along with offering social networking and
crypto-based banking features. The application is divided into three main components: E-commerce,
Social Media, and Web3. In essence, Linework aims to simplify and connect various aspects of daily

life in a single, user-friendly platform.
Responsibility
● Developed and optimized PySpark data pipelines for handling high-volume transactions.
● Designed GraphQL APIs to provide seamless data access across multiple services.
● Implemented AWS Glue ETL jobs for processing and transforming large datasets.
● Set up Kubernetes-based container orchestration for scalable service deployment.
● Monitored system performance using AWS CloudWatch and implemented alerts for data
anomalies.

Skill Set

• Aws
• Azure
• Data Engineer
• ETL
• Graphql
• Kubenretes

Project Portfolio

Skill Set

• Developer Console

Project Portfolio

Project: OneIS Datahub, India | July 2022 – Present
Role: Azure Data Engineer & Power BI Developer

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This project is about providing a cloud voice platform to provide Audio and Video conferencing services to their
clients, here we used ADF to migrate the data from On-Premises and Azure Databases and Power BI to
generate reports and dashboards for visualization.
Responsibilities:
• Worked with International Clients to gather Architectural Changes needed to be made in project from the
business perspective.
• Performed Data Profiling and Data Analysis on source data prior to development of each ETL pipeline.
• Implemented various Performance Improvement and Optimization strategies to promote continuous
improvement in project.
• Reduce Project Cost to 40% by reducing databases from 6 to 3.
• Developed Complete ETL pipelines from Data Mining (extraction from multiple sources), Data
Transformation to loading data into Datahub (Data Warehouse) using Azure Data Factory and Visual Studio
(SQL) with Unit Testing and Documentation.
• Created fully dynamic ADF architecture for loading data (i.e. Full Load & Incremental Load) from multiple
sources like SQL DBs (both Azure and On-Premises), Files (Excel, CSV, text etc.), JSON Rest APIs etc.
• Created On-Premises Integration Runtime and performed successful integration of On-Premises DB to load
data.
• Created complex Stored Procedures, queries based on ETL requirements.
• Created Azure Logic APP to SFTP Files from ADLS to SharePoint.
• Created Data Lineage Process to track Data Flows between different systems.
• Used Azure Data Lake/Blob Storage to load incoming source files for further transformation and ingestion.
• Performed SQL and ADF optimization to boost data load performance.
• Designed and developed interactive Reports & Dashboards using Power BI.
• Formulated data using DAX and Power Query as per the client and data requirement.
• Gathered data from various data sources using different connections in Power BI
• Implemented RLS (Row Level Security), OLS (Object Level Security) & CLS (Column Level Security) as per the
user’s access privileges and achieved abstraction.
• Installed and Configured Power BI Gateways to keep the dashboards and reports up to date by scheduling
the Refresh.
• Integrated Power BI with ADF to automate Scheduled Refresh of Dataset, Dataflow and Linked Dataflow at
regular periods to achieve data consistency.
• Created custom visuals and analysed data using varied visualizations like Stacked Bar Chart, Donut Chart,
Line and Clustered Column Chart, Pie Chart, Word Cloud Chart.
• Automated Dataflow backup to ADLS (Azure Data Lake Storage) using ADF and Power BI Cmdlet’s & Rest
API.

Project 1: Sandvik, India | Feb 2017 – Dec 2022
Role: Data Engineer - Advanced Analytics
This project is about providing growth driven insight with respect to mining industry, here we use IBM
product Maximo Asset Monitor tool to generate the KPI.
Responsibilities:

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• Performed data analysis, data wrangling of raw sensor data from IBM Watson IoT and created data
pipeline using Python (Pandas and NumPy libraries) & IBM Maximo Asset Monitor to develop over 200
KPIs.
• Build complex SQL queries to display the generated KPI's on the dashboard varying with the time
frequency.
• Build AMS Tool for application monitoring using Python, Jira and Pager Duty.
• Data Pipeline created using Python in integration with Microsoft Azure Blob Storage to store the data to
DB2.
• Optimize complex Queries to increase performance of dashboard.
• Created Node JS/Express JS script to read the data from Azure service bus, stores data to AWS S3 bucket
and back to Database.
• Stored Procedures and Triggers created in DB2 database.
Project 2: Lumen, India | Oct 2021 – June 2022
Role: Database Developer
This project is basically migration project i.e. migrate oracle database to Microsoft SQL and migrate dot net
framework to dot net core application and deploy it on the OpenShift.
Responsibilities:
• Engaged in Database Migration from oracle to Microsoft SQL using tool SSMA, and few object that are not
handled while migration are captured and migrated manually.
• Data Pipeline created using tool SSIS for data copying between the servers.
• Data Pipelines created using ADF for data copying from files to Azure SQL DB.
Organization: Wipro
Project: Telenor Communication (Campaign), India | Oct 2014 – Feb 2017
Role: Software Engineer
Project is about to manage the life cycle of a campaign, starting from campaign definition, target list
generation, to execution via multiple communication channels, along with the ability to assess the effectiveness of
a campaign based on responses received.
Responsibilities:
• Management and enhancement of the (in-house product) Campaign management system.
• Managing the team to ensure maximum availability.
• Worked under tight schedules for successful development and implementation.
• Analysing Requirements and convert requirements into technical software solution.
• Resolving issues during the test cycles.

Skill Set

• Aws
• Azure
• Azure Portal

Project Portfolio

Hyderabad, India Jul 2022 to
Current
Accumulated three years of Playwright Automation experience using JavaScript.
Acquired two years of WebDriver IO Automation experience with Selenium and
Cypress.
Executed manual and automation testing across various platforms including
web and APIs.
Created and executed automation scripts utilizing JavaScript, Selenium,
WebDriver IO, JSON, and XML.
Led offshore team of four while managing client communications as onsite lead.
Trained 20 resources in transitioning from manual to automation testing.
Generated QA certificates for each release and prepared comprehensive project
status reports.
Analyzed test results, documented defects thoroughly, and tracked resolutions
efficiently.
Senior Analyst
Hyderabad, India
Confidential/ Apr 2019 to Jul 2022

Conducted requirement analysis to inform test design and execution strategies.
Developed test cases utilizing Selenium with Java for automated testing.
Prepared test data and executed tests to ensure software quality.
Logged defects in JIRA to facilitate tracking and resolution.
Acquired two years of WebDriver IO Automation experience with Selenium and
Cypress.

Skill Set

• Azure
• Extensible Markup Language (XML)
• JavaScript

Project Portfolio

Hyderabad, India Jul 2022 to
Current
Accumulated three years of Playwright Automation experience using JavaScript.
Acquired two years of WebDriver IO Automation experience with Selenium and
Cypress.
Executed manual and automation testing across various platforms including
web and APIs.
Created and executed automation scripts utilizing JavaScript, Selenium,
WebDriver IO, JSON, and XML.
Led offshore team of four while managing client communications as onsite lead.
Trained 20 resources in transitioning from manual to automation testing.
Generated QA certificates for each release and prepared comprehensive project
status reports.
Analyzed test results, documented defects thoroughly, and tracked resolutions
efficiently.
Senior Analyst
Hyderabad, India
Confidential/ Apr 2019 to Jul 2022

Conducted requirement analysis to inform test design and execution strategies.
Developed test cases utilizing Selenium with Java for automated testing.
Prepared test data and executed tests to ensure software quality.
Logged defects in JIRA to facilitate tracking and resolution.
Acquired two years of WebDriver IO Automation experience with Selenium and
Cypress.

Skill Set

• Automation
• QA