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
Contributed to the GoogleCloudPlatform/professional-services-data-validator repository by developing a cross-project BigQuery data validation feature, enabling validations to be executed from one BigQuery project while referencing tables in multiple others. This enhancement improved data quality and governance across multi-project pipelines by expanding validation coverage. The technical approach involved leveraging Python and Google Cloud Platform APIs to implement robust data validation logic and manage cross-project references. Additionally, addressed a critical bug by correcting the quota project parameter handling in the BigQuery client, ensuring accurate billing and quota scoping. Demonstrated backend development skills with a focus on API integration and data validation reliability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
47
Activity Months2
Your Network
4709 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
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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