pentaho/pentaho-kettle
Jan 2026 – Jan 2026
1 Month active
Languages Used
Java
Technical Skills
Backend DevelopmentJavaSoftware DevelopmentSoftware EngineeringUnit Testingbackend development
hv-shiva
PROFILE
Hv-shiva
Shivakrishna Kurremula developed core Virtual File System (VFS) integration for the pentaho/pentaho-kettle repository, enabling the Pipeline designer and job execution components to load and execute transformations directly from VFS sources. Using Java and backend development skills, Shivakrishna enhanced reference handling, improved metadata loading, and implemented safeguards to prevent execution loops caused by complex VFS hierarchies. The work included automatic file extension handling for referenced child objects and addressed issues with parent-child job execution across VFS and repository boundaries. This feature increased reliability and flexibility for ETL pipelines, reducing manual intervention and supporting more robust, maintainable software engineering practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
1,323
Activity Months1
Your Network
105 peopleSame Organization
@hitachivantara.com56
Shared Repositories
49
Work History
January 2026
5 Commits • 1 Features
Jan 1, 2026For 2026-01, delivered core Virtual File System (VFS) integration for Pentaho Kettle Pipeline designer and job execution. This work enables loading and executing transformations and jobs from VFS sources with robust reference handling, improved metadata loading, and safeguards against VFS-related execution loops. The changes deliver immediate business value by enabling flexible storage backends, reducing manual workarounds, and increasing reliability for critical ETL pipelines.
5 Commits • 1 Features
Jan 1, 2026For 2026-01, delivered core Virtual File System (VFS) integration for Pentaho Kettle Pipeline designer and job execution. This work enables loading and executing transformations and jobs from VFS sources with robust reference handling, improved metadata loading, and safeguards against VFS-related execution loops. The changes deliver immediate business value by enabling flexible storage backends, reducing manual workarounds, and increasing reliability for critical ETL pipelines.
January 2026
Activity
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Quality Metrics
Correctness88.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Backend DevelopmentJavaSoftware DevelopmentSoftware EngineeringUnit Testingbackend developmentsoftware engineering
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