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 enhanced the kedro-org/kedro-plugins repository by developing robust authentication and data integration features for BigQuery within Kedro’s pandas and Spark plugins. He introduced a flexible credential management helper in Python, enabling seamless support for both service account JSON dictionaries and file paths, which improved reliability and usability when connecting datasets. In addition, Abhishek implemented the Spark.GBQQueryDataset, allowing users to load BigQuery data into Spark using SQL queries, with comprehensive credential handling and updated documentation. His work demonstrated depth in authentication, cloud integration, and data engineering, addressing edge cases and ensuring secure, maintainable workflows for Big Data pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
622
Activity Months2
Your Network
13 peopleShared Repositories
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akumawavezMember
Armand MasseauMember
Deepyaman DattaMember
Huong NguyenMember
Jitendra GundaniyaMember
Mark DruffelMember
Merel TheisenMember
oomennMember
NicolasMember
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.
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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
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