
Worked on Apache Druid to deliver a critical fix for Delta ingestion from Parquet sources, addressing a bug that previously caused incomplete row ingestion from multi-file Parquet inputs. The solution involved promoting the per-file iterator to a field, ensuring all batches were drained before advancing, and properly closing iterators to prevent resource leaks. Regression tests were added to validate complete batch processing, including scenarios with large row groups and multiple files. This work, implemented in Java with a focus on back end development and unit testing, improved data accuracy, reliability, and maintainability of Delta-based Parquet ingestion in the repository.
In June 2026, delivered a critical Delta ingestion fix for Apache Druid's Parquet input path, ensuring all rows are ingested from multi-file Parquet sources and addressing resource leaks. Key changes include draining all batches per scan file, promoting the per-file iterator to a field to survive hasNext(), and ensuring proper close() of iterators. Regression tests were added to GH-18606, validating complete batch drainage across multi-file inputs (including scenarios with large row groups). The work increased data accuracy, reliability, and maintainability of Delta-based Parquet ingestion.
In June 2026, delivered a critical Delta ingestion fix for Apache Druid's Parquet input path, ensuring all rows are ingested from multi-file Parquet sources and addressing resource leaks. Key changes include draining all batches per scan file, promoting the per-file iterator to a field to survive hasNext(), and ensuring proper close() of iterators. Regression tests were added to GH-18606, validating complete batch drainage across multi-file inputs (including scenarios with large row groups). The work increased data accuracy, reliability, and maintainability of Delta-based Parquet ingestion.

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