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Sahaja Reddy Pabbathi Reddy

PROFILE

Sahaja Reddy Pabbathi Reddy

Sahaja Reddy developed and integrated a BigQuery Asset Discovery Search feature for the google/adk-python repository, enabling streamlined asset discovery within Dataplex Catalog. Leveraging Python and Dataplex APIs, Sahaja implemented a new search tool with comprehensive unit and end-to-end tests, ensuring robust validation and maintainability. In the renovate-bot/googleapis-_-genai-toolbox repository, Sahaja enhanced integration test reliability by introducing a pre-cleanup step for Dataplex AspectTypes using Go, which prevented quota-related failures and reduced CI flakiness. Throughout both projects, Sahaja demonstrated strong skills in API integration, cloud services, and test automation, delivering practical solutions to improve developer workflows and release stability.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
839
Activity Months2

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for google/adk-python: Delivered BigQuery Asset Discovery Search via Dataplex Catalog. Implemented a new search_catalog_tool integrated with the Dataplex Catalog API to enable asset search within the ADK's BigQuery workflow. The change includes unit tests, end-to-end tests, and documentation updates; PR 4171 merged. No separate major bugs fixed this month; focus was feature delivery and quality assurance. Business value includes faster discovery of relevant BigQuery assets, improved developer productivity, and a cohesive asset discovery experience across ADK and Dataplex.

January 2026

1 Commits

Jan 1, 2026

January 2026 monthly summary focusing on business value and technical achievements. The main deliverable this month was stabilizing integration tests for Dataplex AspectTypes in the genai toolbox by adding a pre-cleanup step that deletes existing AspectTypes in the test project/location before creation. This change prevents quota-related test failures and reduces CI flakiness, enabling faster validation of changes and more reliable releases.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

GoPython

Technical Skills

API IntegrationBigQueryDataplexGoUnit Testingcloud servicestesting

Repositories Contributed To

2 repos

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

renovate-bot/googleapis-_-genai-toolbox

Jan 2026 Jan 2026
1 Month active

Languages Used

Go

Technical Skills

Gocloud servicestesting

google/adk-python

Feb 2026 Feb 2026
1 Month active

Languages Used

Python

Technical Skills

API IntegrationBigQueryDataplexUnit Testing