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Abhishek Gawali
Mid-level Data Engineer specializing in cloud ETL and real-time streaming
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About
Data engineer focused on AWS + Spark/Databricks pipelines, including an end-to-end nightly loan-data ingestion flow (~2.2M records) from Postgres/S3 through Glue and Databricks into a DWH with layered validation and alerting. Also built real-time streaming with Kafka + Spark Structured Streaming and a master’s project streaming Reddit data for sentiment analysis under ambiguous requirements and tight budget constraints.
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Key Strengths
- Owned end-to-end batch pipeline from Postgres to S3 to Glue/Databricks to DWH (~2.2M records nightly)
- Implemented multi-stage data quality validation with SME verification and record tracking
- Improved Spark performance by addressing uneven partitions using Adaptive Query Execution (AQE)
- Built real-time streaming pipeline using Kafka and Spark Structured Streaming with dashboarding
- Handled schema changes via Spark schema evolution (mergeSchema) to prevent pipeline failures
- Set up alerts and retry logic across pipeline stages for reliability
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Experience
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Publications
1 publication
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