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Revanth Goli
Senior Data & Backend Engineer specializing in cloud data pipelines and LLM/RAG systems
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Data engineer with end-to-end ownership of large-scale retail and clinical data ingestion/processing on AWS, including real-time streaming and batch pipelines. Delivered measurable outcomes: 20M daily transactions processed, latency cut from 4 hours to 5 minutes, ~70% fewer failures, and 120+ pipelines running at 99.8% reliability with full audit compliance.
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Key Strengths
- Owned end-to-end retail data pipeline processing ~20M daily transactions across 1000+ stores
- Reduced data latency from 4 hours to ~5 minutes by redesigning ingestion with Kafka/Kinesis/Lambda triggers
- Improved data quality by adding Great Expectations + Python anomaly detection; reduced failure rate ~70%
- Scaled to 120+ production pipelines with 99.8% reliability and 100% audit compliance
- Strong SQL optimization: rewrote 300+ analyst queries using window functions and partition pruning
- Built reproducible serverless infrastructure with Terraform and automated deployments via GitHub Actions
- Incident debugging/observability using CloudWatch; resolved large-file Lambda/S3 workflow issue in ~2 hours
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