kedro-org/kedro-plugins
Apr 2025 – May 2025
2 Months active
Languages Used
PythonSQL
Technical Skills
AuthenticationCloud IntegrationData EngineeringKedroBig DataBigQuery
Abhishek Bhatia
PROFILE
Abhishek Bhatia
Abhishek Bhatia contributed to the kedro-org/kedro-plugins repository by developing robust authentication and data integration features for BigQuery within the Kedro ecosystem. He enhanced the pandas integration by implementing a flexible credential flow, allowing both service account JSON dictionaries and file paths, which improved reliability and ease of use for connecting datasets. In the following month, Abhishek delivered the Spark.GBQQueryDataset, enabling SQL-based data loading from BigQuery using the Spark connector, with comprehensive credential handling and thorough test coverage. His work demonstrated depth in Python, SQL, and data engineering, addressing edge cases and ensuring secure, maintainable cloud integration workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
622
Activity Months2
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 focused on delivering a new Spark.GBQQueryDataset to Kedro's Spark integration, with robust BigQuery credentials handling, SQL-based data loading, tests, and docs updates.
1 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 focused on delivering a new Spark.GBQQueryDataset to Kedro's Spark integration, with robust BigQuery credentials handling, SQL-based data loading, tests, and docs updates.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivery focused on strengthening Google BigQuery authentication for the kedro-plugins pandas integration. Implemented a flexible credential flow by adding the _get_credentials helper to accept multiple input forms (service account JSON dictionaries and file paths), significantly improving ease of use and reliability when connecting Kedro datasets to BigQuery. Addressed edge cases through a targeted fix in the credentials handling for pandas GBQ datasets (commit referenced) to ensure robust and secure authentication across environments.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivery focused on strengthening Google BigQuery authentication for the kedro-plugins pandas integration. Implemented a flexible credential flow by adding the _get_credentials helper to accept multiple input forms (service account JSON dictionaries and file paths), significantly improving ease of use and reliability when connecting Kedro datasets to BigQuery. Addressed edge cases through a targeted fix in the credentials handling for pandas GBQ datasets (commit referenced) to ensure robust and secure authentication across environments.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
AuthenticationBig DataBigQueryCloud IntegrationData EngineeringKedroPythonSpark
Repositories Contributed To
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