Venu Venkata Surendra reddy Erusu

About

Research assistant at Syracuse University who owned a Python/FastAPI analytics backend for user-uploaded large datasets, using S3 streaming uploads and background workers for heavy processing. Has hands-on experience deploying Dockerized Python/Java microservices to AWS EKS with Jenkins-based CI/CD, plus Kafka-based event-driven pipelines and practical migration patterns (dependency mapping, dual-write, reconciliation) to minimize downtime.

Experience

Education

Key Strengths

• Designed and implemented FastAPI backend APIs for large dataset upload, processing status tracking, and results retrieval
• Optimized large-file handling by streaming uploads directly to S3 to avoid memory/performance issues
• Built robust processing pipelines with staged validation, error handling, retry logic, and logging
• Deployed containerized microservices to EKS using Kubernetes primitives (Deployments, rolling updates, HPA)
• Diagnosed production deployment issues (misconfigured env vars) via pod logs/events and executed fast rollback with minimal/no downtime
• Supported phased VM-to-container/Kubernetes migration using dependency mapping and incremental cutover
• Implemented dual-write and reconciliation approach to maintain data consistency during parallel-run migrations
• Integrated Kafka for real-time event processing; addressed ordering and consumer lag via partition/replication tuning and monitoring