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Bharath Krishna

PROFILE

Bharath Krishna

Worked on Apache Iceberg and Gravitino repositories, delivering Spark 3.5 compatibility by enhancing AddFilesProcedure to infer partition specs from source FileTables and expanding test coverage for evolving schemas. Addressed Hadoop fileio issues in Dockerized Gravitino deployments by integrating the GCS connector JAR, improving GCS data access reliability. In Apache Iceberg Python, stabilized PyIceberg’s integration with Hive Metastore by merging HMS-specific table properties during commits and adding regression tests to ensure configuration preservation. Leveraged Java, Python, and Docker, focusing on backend development, data engineering, and distributed systems to improve workflow robustness, external system compatibility, and cloud storage integration.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

4Total
Bugs
2
Commits
4
Features
1
Lines of code
528
Activity Months3

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026: Focused on stabilizing PyIceberg integration with Hive Metastore (HMS). Delivered a bug fix that preserves HMS-specific table properties during PyIceberg commits by merging properties instead of replacing, and added a regression test to ensure external systems' configurations are maintained. This enhances reliability for data pipelines and external integrations while preserving API stability.

June 2025

1 Commits

Jun 1, 2025

June 2025 summary for apache/gravitino: focused bug fix to stabilize GCS data access in Dockerized deployments. Delivered a targeted fix for Hadoop fileio UnsupportedFileSystemException by introducing the GCS connector JAR into lakehouse-iceberg and iceberg-rest-server components within the Docker build, enabling reliable reads from GCS data and smoother data ingestion workflows. This work reduces runtime errors in production and supports the data lakehouse strategy.

March 2025

2 Commits • 1 Features

Mar 1, 2025

March 2025: Delivered Spark 3.5 compatibility improvements for Apache Iceberg by enhancing AddFilesProcedure to infer partition specs from source FileTables (instead of the target table's latest spec) and by adding tests to cover evolved partition specs and invalid partition filters. Implemented unit tests to validate robustness when partition filters reference invalid columns. In addition to feature delivery, the work strengthens the Iceberg add-files workflow, reduces user surprises, and improves correctness with evolving schemas. No major bugs fixed this month; the focus was on delivering a solid feature and expanding test coverage to mitigate future regressions.

Activity

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Quality Metrics

Correctness97.6%
Maintainability90.0%
Architecture85.0%
Performance87.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

JavaPythonScalaShell

Technical Skills

Build AutomationCloud Storage IntegrationData EngineeringDistributed SystemsDockerIcebergSQLSparkUnit Testingbackend developmentdata engineeringtesting

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

apache/iceberg

Mar 2025 Mar 2025
1 Month active

Languages Used

JavaScala

Technical Skills

Data EngineeringDistributed SystemsIcebergSQLSparkUnit Testing

apache/gravitino

Jun 2025 Jun 2025
1 Month active

Languages Used

Shell

Technical Skills

Build AutomationCloud Storage IntegrationDocker

apache/iceberg-python

Jan 2026 Jan 2026
1 Month active

Languages Used

Python

Technical Skills

backend developmentdata engineeringtesting