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Harsha Chimirala
Mid-level Data Engineer specializing in cloud data platforms and scalable ETL pipelines
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Data engineer (~4 years) with full-stack delivery experience (Next.js App Router/TypeScript + React) building a real-time operations monitoring dashboard backed by Kafka and orchestrated data pipelines. Strong production focus: Airflow + CloudWatch monitoring, automated Python/SQL validation (99.5% accuracy), and CI/CD with Jenkins/Docker; has delivered measurable improvements in latency, pipeline reliability, and query performance (Postgres/Redshift).
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Key Strengths
- Shipped end-to-end real-time operations monitoring dashboard (Kafka to TypeScript UI) with sub-minute latency
- Improved operations monitoring efficiency by ~25%
- Maintained 99.5% data accuracy via automated validation (Python/SQL) and integrity checks
- Raised pipeline success rate from 87% to 98% using Airflow monitoring and CloudWatch alerting with latency thresholds
- Reduced environment-related deployment failures by 27% using CI/CD with Jenkins and Docker
- Frontend performance optimization for high-velocity data using Suspense/streaming and memoization; reduced execution time by 34% and refresh latency by 29%
- Designed Postgres star schema and optimized reporting queries; reduced query execution time by 29% using selective B-tree indexes and join restructuring validated with EXPLAIN ANALYZE
- Built durable Airflow-orchestrated workflows handling 8M+ records/day with retries (exponential backoff) and idempotency via SQL merge + CDC
- Architected a three-layer S3 data lake improving data reliability by 28% and scaling to 8M+ records/day
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