SRIRAM NARRA

Designed and developed product components with a Test Driven Development (TDD) strategy; built REST API microservices using Django, Django REST Framework, and FastAPI in Python 3 following OpenAPI specifications and PEP8 standards; re-architected major components prioritizing performance, scalability, and cost optimization; applied OOAD and event-driven architectures; designed data warehouse schemas, improving query performance by 40%; developed REST endpoints with Django Serializers and robust data validation; contributed to Generative AI solution integration; worked with Azure SDKs and AWS services (Gateway, Lambda, EKS, SNS, SQS, RDS, EC2, DynamoDB, CloudWatch, ECS, S3, ALB); used PostgreSQL, MySQL, and MongoDB; containerized with Kubernetes (AWS EKS); implemented Celery with Redis and RabbitMQ; deployed on AWS using Lambda and EC2; used AWS Cognito for IAM; version control with Git and CI/CD with GitHub Actions.

Collaborated with External Portfolio Management (EPM) team to design, optimize, and maintain Risk Metrics Processing workflows. Stack included Python, FastAPI, PostgreSQL, MongoDB, Docker, and Kubernetes; designed REST endpoints with OpenAPI specs and Pydantic validation; used Redis for caching. Reduced workflow timing from 70 hours to 1.5 hours. Modeled complex database hierarchies in AWS Aurora PostgreSQL for IEA team. Proposed event-driven ingestion pipeline: S3 → AWS Lambda → SQS → FastAPI workers persisting to MongoDB. Optimized MongoDB queries with indexes and projections; containerized services with Docker and deployed via Helm charts on Kubernetes; tests with Pytest; CI/CD pipelines with Terraform and GitHub Actions. Collaborated closely with business users and tech teams in an Agile environment.

Worked on Adverse Online Risk Assessment by integrating data models and optimizing performance. Led migration to AWS Cloud using Python, including AWS Lambda, S3, and RDS. Developed Python services using Django and FastAPI, with automated unit tests for REST APIs. Leveraged Apache Airflow for batch scheduling and monitoring, achieving a 20% reduction in processing time. Optimized storage and retrieval to cut data processing times by 30%. Implemented container orchestration with AWS EKS, and built Bash scripts to automate routine tasks. Participated in code reviews and architectural decisions; worked in Kanban and Scrum; used Git for version control and CI/CD with Github Actions.