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Ashish Shah
Mid-level Data Engineer / Software Engineer specializing in streaming and cloud data platforms
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About
Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).
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Key Strengths
- Reduced Kafka notification latency (~5000ms to ~3000ms) via service split, consumer tuning, and custom partition assignment
- Microservices architecture design with clear tradeoff management (latency/throughput vs complexity)
- API engineering for reliability and frontend enablement (Pydantic validation, OpenAPI, versioning, consistent error handling)
- Production security implementation (JWT auth, refresh tokens, RBAC, object-level permissions, HTTPS enforcement)
- Led large-scale migration (1M+ records) with idempotent ETL, reconciliation, and shadow deployment; avoided downtime and achieved >99% data integrity
- Identified overlooked failure modes in event-driven systems and improved robustness (rebalance crashes, poison messages, DLQ, idempotency)
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