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jahnavi Vasala
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
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Data engineer with Intuit experience owning end-to-end, high-volume financial data pipelines (API/S3 ingestion, Airflow orchestration, Spark/PySpark + SQL transforms, Snowflake marts). Strong focus on reliability and data quality—achieved 99.8% SLA and cut discrepancies by 35% using Great Expectations, reconciliation, schema versioning, and automated backfills; also built near real-time Kafka/API data services with CI/CD and observability.
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Key Strengths
- Owned end-to-end high-volume financial data pipeline (APIs/S3 → Airflow → Spark/SQL → Snowflake marts)
- Improved pipeline reliability to 99.8% SLA
- Reduced data discrepancies by 35% via data quality checks and reconciliation
- Implemented robust data validation with Great Expectations (schema/null/consistency checks)
- Handled upstream schema changes with schema versioning, error handling, and automated backfills
- Designed scalable, cost-efficient ingestion systems (autoscaling, right-sizing, Parquet, scheduling optimization)
- Built near real-time data services using Kafka and APIs with backward-compatible schema versioning
- Established CI/CD and observability (Jenkins, logs/alerts) and managed incidents with RCA
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