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
Worked on the kedro-org/kedro-plugins repository to enhance BigQuery integration within Kedro’s data engineering workflows. Delivered a flexible authentication system for pandas integration by introducing a helper function that accepts both service account JSON dictionaries and file paths, improving reliability and ease of use across environments. Developed the Spark.GBQQueryDataset, enabling data loading from BigQuery using SQL queries with the Spark connector, and ensured robust credential handling aligned with existing authentication flows. Contributed comprehensive tests and documentation updates to support these features. The work leveraged Python, SQL, and Spark, focusing on authentication, cloud integration, and scalable big data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
622
Activity Months2
Your Network
17 peopleShared Repositories
17
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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