pass-culture/data-gcp
Nov 2025 – Mar 2026
3 Months active
Languages Used
SQL
Technical Skills
SQLdata analyticsdata modelingdbtanalyticsdata engineering
mwallier-pass
PROFILE
Mwallier-pass
Malek Wallier enhanced the pass-culture/data-gcp repository by delivering three analytics-focused features over three months, emphasizing data model enrichment and analytics readiness. He implemented new fields in SQL and dbt to capture user age at deposit and creation, enabling more granular cohort analysis and onboarding segmentation. Malek also introduced tracking models for the Recommendation API, improving data collection on user interactions and supporting incremental data processing for performance and integrity. His work included updating documentation and ensuring data lineage consistency, resulting in robust, maintainable analytics pipelines. Throughout, he demonstrated depth in data engineering, analytics, and data modeling without introducing defects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
468
Activity Months3
Your Network
38 peopleShared Repositories
6
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for pass-culture/data-gcp focused on delivering analytics enhancements for the Recommendation API. Delivered new tracking models to improve data collection on user interactions with offers, implemented incremental data processing to optimize performance and maintain data integrity, and updated analytics refresh periods for timely insights. These changes enable better measurement of user engagement and more accurate personalization, driving business value through improved recommendation quality and data-driven decision making.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for pass-culture/data-gcp focused on delivering analytics enhancements for the Recommendation API. Delivered new tracking models to improve data collection on user interactions with offers, implemented incremental data processing to optimize performance and maintain data integrity, and updated analytics refresh periods for timely insights. These changes enable better measurement of user engagement and more accurate personalization, driving business value through improved recommendation quality and data-driven decision making.
March 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Month 2026-01: Focused on data model enrichment to improve analytics readiness and data quality. Delivered a new field to capture age at creation and updated documentation, enabling more accurate onboarding analytics and segmentation.
January 2026
1 Commits • 1 Features
Jan 1, 2026Month 2026-01: Focused on data model enrichment to improve analytics readiness and data quality. Delivered a new field to capture age at creation and updated documentation, enabling more accurate onboarding analytics and segmentation.
November 2025
1 Commits • 1 Features
Nov 1, 20252025-11 Monthly summary for pass-culture/data-gcp: Key features delivered include Deposit Analytics with user age at deposit and first/last deposits; low defect surface for this period as no major bugs surfaced in the provided data; repository change added field user_age_at_deposit to user_beneficiary and deposit. Commit linked to DE-2864 (#4621) ensures traceability and reproducibility.
1 Commits • 1 Features
Nov 1, 20252025-11 Monthly summary for pass-culture/data-gcp: Key features delivered include Deposit Analytics with user age at deposit and first/last deposits; low defect surface for this period as no major bugs surfaced in the provided data; repository change added field user_age_at_deposit to user_beneficiary and deposit. Commit linked to DE-2864 (#4621) ensures traceability and reproducibility.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture100.0%
Performance93.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
SQL
Technical Skills
SQLanalyticsdata analyticsdata engineeringdata modelingdbt
Repositories Contributed To
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