GoogleCloudPlatform/professional-services-data-validator
Nov 2025 – Dec 2025
2 Months active
Languages Used
Python
Technical Skills
BigQueryGoogle Cloud PlatformPythondata validationAPI integrationbackend development
FelipeKalinoski
PROFILE
Felipekalinoski
Felipe Ka developed and stabilized cross-project data validation capabilities for the GoogleCloudPlatform/professional-services-data-validator repository over a two-month period. He built a feature enabling BigQuery validations to reference tables across multiple projects, expanding data governance and accuracy for complex data pipelines. Using Python and Google Cloud Platform, Felipe implemented robust backend logic to support cross-project references and ensured seamless integration with BigQuery APIs. He also addressed a critical bug by correcting quota project parameter handling in the BigQuery client, aligning billing and quota scoping with organizational requirements. His work demonstrated depth in backend development, data validation, and cloud-based API integration.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
47
Activity Months2
Your Network
4159 people
Work History
December 2025
1 Commits
Dec 1, 2025December 2025 monthly summary for GoogleCloudPlatform/professional-services-data-validator. Focused on stabilizing critical BigQuery integration by correcting the quota/project parameter handling to ensure accurate billing context and quota scoping in client usage.
1 Commits
Dec 1, 2025December 2025 monthly summary for GoogleCloudPlatform/professional-services-data-validator. Focused on stabilizing critical BigQuery integration by correcting the quota/project parameter handling to ensure accurate billing context and quota scoping in client usage.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for the professional-services-data-validator repo. Delivered a Cross-Project BigQuery Data Validation feature that enables executing validations from a BigQuery project referencing tables in multiple projects. This expands cross-project validation coverage, improves data quality, and strengthens governance across multi-project data pipelines. The implementation was captured in commit 2cf331f7fe396e7046ee95a18165b98f093177ab with the message: feat: Execute a validation from a BigQuery project pointing to a table in a different project (#1622). Demonstrated proficiency in BigQuery, cross-project data validation, and Git-based feature delivery.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for the professional-services-data-validator repo. Delivered a Cross-Project BigQuery Data Validation feature that enables executing validations from a BigQuery project referencing tables in multiple projects. This expands cross-project validation coverage, improves data quality, and strengthens governance across multi-project data pipelines. The implementation was captured in commit 2cf331f7fe396e7046ee95a18165b98f093177ab with the message: feat: Execute a validation from a BigQuery project pointing to a table in a different project (#1622). Demonstrated proficiency in BigQuery, cross-project data validation, and Git-based feature delivery.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationBigQueryGoogle Cloud PlatformPythonbackend developmentdata validation
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