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Niramay Kelkar
Mid-level Backend Engineer specializing in APIs, microservices, and data platforms
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About
Software engineer who built JobIntel, an end-to-end Python ETL pipeline integrating ATS data from platforms like Greenhouse using Scrapy and FastAPI. Stands out for production reliability work: designing async fault-tolerant architecture, optimizing PostgreSQL write-heavy upserts, and building a Prometheus/Splunk observability stack that cut debugging from hours to minutes.
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Key Strengths
- End-to-end Python integration and ETL delivery
- Reliability engineering for scraping/data ingestion systems
- Strong observability design with Prometheus and Splunk
- Debugging schema drift and rate-limit failures in production
- Architecting decoupled async pipelines for fault isolation
- Database performance tuning for write-heavy PostgreSQL workloads
- Turning ambiguous manual processes into autonomous workflows
- Fast root-cause analysis using metrics-to-logs correlation
- Reduced debugging time from hours to minutes
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