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Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
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About
Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.
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Key Strengths
- Designed real-time streaming analytics backend (Node/Express + Flink) on AWS/GCP
- Reduced data delays by 40%
- Improved data accuracy to 99.9%
- Led batch-to-streaming migration using phased parallel rollout to manage risk
- Strong data integrity practices (Great Expectations validation, mismatch scripts, backups/versioning)
- Production observability and incident readiness (Prometheus/Grafana monitoring, alerting, rollback)
- API reliability and security in FastAPI (pytest testing, JWT/OAuth2, Pydantic validation, CORS)
- Identified Kafka consumer duplicate-processing failure mode; implemented idempotency to prevent double counting
- End-to-end full-stack delivery (React frontend, Node/Express APIs, AWS deployment/ops)
- Production observability and incident/performance monitoring (Prometheus/Grafana, CloudWatch)
- Designing scalable web app architecture with Postgres, migrations (Flyway), and performance tuning (indexing, pooling, caching)
- High-ambiguity execution: shipped real-time collaboration using WebSockets and JWT without detailed specs
- Reliability patterns for integrations/pipelines (retries/exponential backoff, backfills, reconciliation, alerting)
- Maintainability improvements via modular React components and backend abstractions; reduced bugs and improved onboarding speed
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