Sathyavarthan Balachandar

About

Backend/data platform engineer who recently owned an end-to-end large-scale financial data platform delivering real-time decision support for finance and operations. Has hands-on experience modernizing legacy batch pipelines into AWS cloud-native ELT with parallel-run cutovers, strong data quality controls (dbt-style tests, reconciliation), and measurable improvements in runtime, cost, and SLA compliance. Also builds scalable, secure FastAPI microservices using Docker, ALB-based horizontal scaling, Redis caching, and managed auth with Cognito/Supabase plus Postgres RLS.

Experience

Education

Key Strengths

• End-to-end ownership of large-scale data platform supporting finance/operations real-time decisioning
• Improved processing time ~30% by migrating from pandas-based ETL to Spark
• Improved SLA compliance ~25% via Airflow orchestration and retry logic
• Reduced data quality errors ~30% through reconciliation checks and stricter validation
• Led legacy batch pipeline modernization to cloud-native ELT on AWS with parallel run and incremental rollout
• Cut pipeline runtime >50% and reduced costs ~30% during migration while maintaining reporting consistency
• Strong API engineering practices in FastAPI (microservices, Pydantic validation, async I/O, Docker, ALB scaling, Redis caching)
• Production security implementation using managed auth (Cognito/Supabase), JWT, RBAC, and database-enforced RLS