
Harsh Srivastava developed two features focused on data management and profiling within the apache/iceberg and datahub-project/datahub repositories. He implemented branch-aware rewrite_data_files in Apache Iceberg, enabling isolated data file operations on development branches without affecting the main snapshot, and ensured data integrity through targeted unit tests. In DataHub, he enhanced the Iceberg profiler by adding a sizeInBytes attribute, allowing for more accurate dataset profiling and improved cost accounting. His work leveraged Java, Python, and Apache Spark, with an emphasis on robust test coverage and cross-repository compatibility, reflecting a deep understanding of big data engineering and data profiling challenges.
January 2026 monthly summary focusing on feature delivery for data management and profiling across Iceberg integrations. Implemented branch-aware rewrite_data_files in Apache Iceberg with tests ensuring data integrity and unchanged main snapshot on branch operations. Backported branch support to Spark to enable isolated development streams. Enhanced Iceberg profiling in DataHub by adding sizeInBytes to capture the total file size from snapshot, improving dataset profiling and cost accounting. All work included targeted tests and reviews to ensure stability and cross-repo compatibility.
January 2026 monthly summary focusing on feature delivery for data management and profiling across Iceberg integrations. Implemented branch-aware rewrite_data_files in Apache Iceberg with tests ensuring data integrity and unchanged main snapshot on branch operations. Backported branch support to Spark to enable isolated development streams. Enhanced Iceberg profiling in DataHub by adding sizeInBytes to capture the total file size from snapshot, improving dataset profiling and cost accounting. All work included targeted tests and reviews to ensure stability and cross-repo compatibility.

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