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Raghuram Chandrala
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Plano, TXSr Java Full Stack Developer7 years experienceSeniorFinancial ServicesFinTechInsurance
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About
Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.
Experience
Sr Java Full Stack DeveloperBroadridge Financial Services
Sr. Java Full Stack DeveloperSantander Consumer USA
Sr Java Full Stack DeveloperLowe's
Java developerMorgan Stanley Smith Barney
Java DeveloperAIG Life Insurance
Key Strengths
- Built end-to-end document processing/workflow platform (Angular + Spring Boot microservices + Python/Flask)
- Designed scalable async processing using Celery + RabbitMQ to keep APIs non-blocking under heavy workloads
- Cross-language microservice integration (Java + Python) with clear API contracts and schema validation
- Cloud-native deployment on AWS (Docker on ECS, auto-scaling, CloudWatch monitoring)
- Data architecture for large files using PostgreSQL (indexing/JSONB) and S3 storage
- Strong API design discipline (OpenAPI/Swagger, validation, logging, unit/integration tests, CI/CD)
- Designed Flask backend modularization using blueprints for maintainability
- Offloaded heavy file compression/processing (200–300MB files) to background workers to prevent timeouts
- Implemented RabbitMQ-based job queuing to improve API responsiveness
- Optimized data comparison using Pandas batch processing to reduce memory usage
- Improved concurrency/scalability with Gunicorn multi-worker setup
- SQLAlchemy/PostgreSQL performance tuning with indexing and EXPLAIN ANALYZE
- Avoided N+1 query issues using joinedload/selectinload
- Implemented multi-tenant data isolation (separate schemas vs shared tables with tenant filtering)
- Delivered measurable performance gains: API response time ~30s to <1s; reduced DB load ~50%; increased throughput
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