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sreeya tula
Senior Backend Engineer specializing in Python microservices and cloud-native systems
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Backend/data platform engineer who owned a FastAPI + Kafka microservice in Verizon’s billing pipeline, handling high-volume usage ingestion/validation/enrichment with strong observability and CI/CD on AWS EKS. Demonstrated measurable performance gains (latency down to ~120–150ms; Kafka throughput +30–40%; DB CPU -25%) and led an on-prem ETL-to-AWS migration using Terraform, parallel validation, and phased cutover with zero downtime.
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Key Strengths
- Owned end-to-end FastAPI microservice design (API layer, DB schema, Kafka workflow) in a telecom billing pipeline
- Performance optimization via Redis caching + DB indexing/query tuning (API latency reduced ~800–900ms to ~120–150ms)
- Improved Kafka batch throughput ~30–40% and reduced DB CPU usage ~25%
- Built production-grade observability (Prometheus/Grafana dashboards, structured logging) to reduce debugging time
- Implemented reliable CI/CD and GitOps-style deployments on EKS (Helm, GitHub Actions/Jenkins) with automated tests and security scans
- Resolved Kubernetes config drift causing failed deployments by adding CI config validation and versioned Helm values with GitOps syncing
- Led on-prem to AWS migration planning/execution with parallel runs, phased cutover, and Terraform-based repeatable infrastructure (zero downtime)
- Created side-by-side data validation scripts to uncover undocumented legacy rules and ensure consistent migration outputs
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