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sumanth gunda
Mid-level Backend Software Engineer specializing in cloud data services
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About
Data engineer/backend engineer with experience in healthcare (Cardinal Health provider enrollment) and finance (Northern Trust) building and stabilizing data pipelines and REST services. Worked with APIs and Kafka at ~200k–300k records/day, improving data quality (DLQ + validation), performance (SQL/indexing), and reliability/observability (logging, alerts, consumer lag metrics), and stood up an early-stage financial data service with Jenkins-based CI/CD.
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Key Strengths
- Owned end-to-end data pipeline for provider enrollment (APIs + Kafka) at ~200k–300k records/day with bulk-load spikes
- Improved data quality by adding Python validation + SQL checks and a DLQ; reduced bad data by ~10%
- Optimized slow SQL joins with indexing and query rewrites (reduced query time by ~2–3 seconds from ~8–10 seconds)
- Improved reliability by adding logging and alerts; reduced undetected Kafka consumer failures by ~25%
- Improved dashboard performance via pre-aggregated tables
- Hardened external API ingestion with retries/backoff and reprocessing of failed records; added defensive parsing to handle schema changes
- Built early-stage real-time financial data service with pragmatic hybrid batch + near-real-time architecture; set up Jenkins/Git CI/CD and core observability metrics
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