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Sushanth Reddy
Mid-level Data Engineer specializing in cloud ETL/ELT and big data pipelines
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About
Data engineer focused on production-grade pipelines and data services: ingests millions of records/day into S3, performs SQL/Python quality validation and PySpark/SQL transformations, and serves curated datasets via Athena/Redshift. Has experience hardening external data collection with retries/rate-limit handling and shipping versioned internal data APIs with backward compatibility, monitoring, and CI/CD in early-stage environments.
Experience
Education
Key Strengths
- Owned end-to-end data pipelines (ingestion to serving) handling millions of records daily
- Implemented robust data quality controls (schema checks, deduplication, reconciliation) to reduce downstream reporting issues
- Built monitoring, logging, and alerting to detect issues early and improve reliability
- Maintained ~99% pipeline efficiency/reliability while optimizing query performance
- Designed external data collection with retries (exponential backoff) and rate-limit/anti-bot mitigation via batching
- Shipped and maintained versioned data APIs with backward compatibility and consumer migration/deprecation strategy
- Delivered in ambiguous early-stage environments with pragmatic scoping, CI/CD, and production incident debugging
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