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Lalithya Manasa Patri
Senior Data Engineer specializing in cloud ETL and real-time streaming pipelines
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Data engineer with eBay experience owning end-to-end pipelines for real-time order and user behavior analytics at 10M+ records/day. Strong in PySpark/SQL transformations, Airflow reliability patterns, and production observability (CloudWatch), with measurable outcomes including improved data quality and 30–40% query performance gains. Also built Python data APIs for analytics/ML consumers with versioning and backward compatibility.
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Key Strengths
- Owned end-to-end production data pipelines (ingestion to serving) processing 10M+ records/day
- Improved data quality via schema validation and automated data quality checks
- Built reliable orchestration with Airflow (retries, logging, alerting) to improve data availability
- Delivered 30–40% better query performance through SQL optimization and partitioning
- Handled API schema changes and rate limits using flexible parsing, validation, alerts, and backoff retries
- Shipped Python-based data services with versioned, backward-compatible endpoints and strong documentation
- Stood up greenfield/ambiguous projects with MVP scoping, CI/CD, Kubernetes deployment, and observability
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