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Venkata Rampalli
Mid-level Backend/AI Software Developer specializing in data pipelines for FinTech and healthcare
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Data engineer/backend data services builder with end-to-end ownership of production pipelines for a Pfizer client, combining Python/SQL ingestion and transformation with strong data quality controls. Delivered measurable performance gains (~30% faster queries) and improved reliability through monitoring/alerting (Splunk, Prometheus/Grafana), structured logging, and incident response; also built internal REST APIs with versioning and caching and set up GitLab-based CI/CD with containerized deployments.
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Key Strengths
- Owned end-to-end production data pipeline (ingestion to serving) in pharma context (Pfizer client)
- Implemented data quality gates (null/duplicate/schema checks) to reduce manual cleanup and improve reliability
- Improved query performance ~30% via SQL optimization (indexing, reducing unnecessary joins, optimizing heavy queries)
- Built monitoring/alerting and handled production incidents via troubleshooting and structured logging
- Designed responsible external data ingestion with retries/backoff, rate limiting, and preference for official APIs
- Shipped internal REST data services with performance tuning (query optimization, caching), correctness checks, and API versioning/backward compatibility
- Stood up early-stage pipeline with pragmatic tradeoffs (batch-first) plus CI/CD (GitLab) and containerized deployments
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