pass-culture/data-gcp
Nov 2024 – Oct 2025
11 Months active
Languages Used
MarkdownSQLYAMLJinjaPython
Technical Skills
AnalyticsData EngineeringData ModelingData WarehousingDocumentationETL
tscheurer-pass
PROFILE
Tscheurer-pass
Timothée Scheurer developed and enhanced core data models and analytics features for the pass-culture/data-gcp repository, focusing on data quality, governance, and actionable business insights. He engineered robust dbt and SQL pipelines to support marketing attribution, fraud detection, user segmentation, and financial analytics, while evolving schemas to accommodate new business requirements such as GRANT_FREE deposits and event-level tracking. His work included optimizing ETL processes, enriching documentation, and implementing modular data warehousing solutions in BigQuery. By refining data models and improving reporting accuracy, Timothée enabled more reliable analytics, streamlined decision-making, and ensured maintainable, audit-ready data infrastructure for cross-functional teams.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
42Total
Bugs
3
Commits
42
Features
20
Lines of code
2,447
Activity Months11
Your Network
35 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for pass-culture/data-gcp: Focused on expanding analytics coverage by delivering event-level tracking across data sources and establishing a durable reminder data model in the warehouse. These changes increase visibility into event performance and user engagement, enabling more accurate attribution and targeted follow-ups.
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for pass-culture/data-gcp: Focused on expanding analytics coverage by delivering event-level tracking across data sources and establishing a durable reminder data model in the warehouse. These changes increase visibility into event performance and user engagement, enabling more accurate attribution and targeted follow-ups.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 — pass-culture/data-gcp: Implemented Fraudulent Booking Data Model by adding fraudulent_booking_tag to the dbt data model, with schema, documentation, and SQL logic across raw and mart layers to enable tracking and analytics of fraudulent bookings. Linked to DE-1555 via commit 987c85ea3f9883a295632f68f617d7cf98b8a005. Business value: improved fraud observability, governance, and data-driven decision-making. No major bugs fixed this month in this repository; priority was feature delivery and data quality. Technologies/skills demonstrated: dbt modeling, SQL, data governance, documentation, version control, cross-team collaboration.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 — pass-culture/data-gcp: Implemented Fraudulent Booking Data Model by adding fraudulent_booking_tag to the dbt data model, with schema, documentation, and SQL logic across raw and mart layers to enable tracking and analytics of fraudulent bookings. Linked to DE-1555 via commit 987c85ea3f9883a295632f68f617d7cf98b8a005. Business value: improved fraud observability, governance, and data-driven decision-making. No major bugs fixed this month in this repository; priority was feature delivery and data quality. Technologies/skills demonstrated: dbt modeling, SQL, data governance, documentation, version control, cross-team collaboration.
August 2025
3 Commits • 2 Features
Aug 1, 20252025-08: Delivered two major data platform enhancements in pass-culture/data-gcp. Key features: (1) Documentation and glossary updates for dbt models clarifying deposit definitions, adding GRANT_FREE deposit type, and expanding deposit sources; (2) Firebase aggregated search events enrichment with new fields, renamed fields for clarity, and new metrics for richer analysis. No major bugs fixed this month. Impact: improved data governance, better data quality, and richer analytics capabilities enabling more informed business decisions. Skills: dbt documentation, data modeling, schema evolution, analytics instrumentation, and Git-based release discipline.
3 Commits • 2 Features
Aug 1, 20252025-08: Delivered two major data platform enhancements in pass-culture/data-gcp. Key features: (1) Documentation and glossary updates for dbt models clarifying deposit definitions, adding GRANT_FREE deposit type, and expanding deposit sources; (2) Firebase aggregated search events enrichment with new fields, renamed fields for clarity, and new metrics for richer analysis. No major bugs fixed this month. Impact: improved data governance, better data quality, and richer analytics capabilities enabling more informed business decisions. Skills: dbt documentation, data modeling, schema evolution, analytics instrumentation, and Git-based release discipline.
August 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for pass-culture/data-gcp: Implemented GRANT_FREE deposit handling and refined user segmentation to improve data quality and analytics. Introduced a zero-amount GRANT_FREE deposit category, expanded segmentation with FREE_BENEFICIARY, and tightened filters to exclude users whose current deposit type is GRANT_FREE, ensuring accurate targeting. Implemented dbt-based changes with traceability to commits for auditing. Result: cleaner segmentation, fewer misclassifications, and improved confidence for business decisions.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for pass-culture/data-gcp: Implemented GRANT_FREE deposit handling and refined user segmentation to improve data quality and analytics. Introduced a zero-amount GRANT_FREE deposit category, expanded segmentation with FREE_BENEFICIARY, and tightened filters to exclude users whose current deposit type is GRANT_FREE, ensuring accurate targeting. Implemented dbt-based changes with traceability to commits for auditing. Result: cleaner segmentation, fewer misclassifications, and improved confidence for business decisions.
May 2025
2 Commits
May 1, 2025For May 2025 (pass-culture/data-gcp), delivered two critical data reliability improvements with measurable business value and clean maintainability gains in the ETL/dbt layer: Key outcomes: - Improved data integrity for cost calculations by extending Appsflyer incremental processing window from 7 days to 15 days, ensuring data from 14 days prior is fully included and reducing the risk of missing daily install cost data. Commit: 119ce2667aff678d35630e0cad114bb74325012c (DA-1603) as part of dbt fix (#4115). - Enhanced expiring deposits reporting by updating outgoing_cohort to include GRANT_17_18, refactoring bookings_info and consultations CTEs for clearer aliases, and correcting joins with users_expired_monthly; final grouping by the truncated deposit expiration month is now accurate. Commit: 6b8dab2d767439320368506d878062c61ee3820c (DA-1658) as part of dbt fix (#4170). Overall impact: - Higher reliability and completeness of cost data and deposits analytics, reducing data loss risk and enabling more trustworthy business decisions. - Improved model readability and maintainability through descriptive aliases and better-structured SQL (dbt models). Technologies/skills demonstrated: - dbt modeling, advanced SQL (joins, CTEs, aggregation), data pipeline reliability improvements, and commit-traceable changes.
2 Commits
May 1, 2025For May 2025 (pass-culture/data-gcp), delivered two critical data reliability improvements with measurable business value and clean maintainability gains in the ETL/dbt layer: Key outcomes: - Improved data integrity for cost calculations by extending Appsflyer incremental processing window from 7 days to 15 days, ensuring data from 14 days prior is fully included and reducing the risk of missing daily install cost data. Commit: 119ce2667aff678d35630e0cad114bb74325012c (DA-1603) as part of dbt fix (#4115). - Enhanced expiring deposits reporting by updating outgoing_cohort to include GRANT_17_18, refactoring bookings_info and consultations CTEs for clearer aliases, and correcting joins with users_expired_monthly; final grouping by the truncated deposit expiration month is now accurate. Commit: 6b8dab2d767439320368506d878062c61ee3820c (DA-1658) as part of dbt fix (#4170). Overall impact: - Higher reliability and completeness of cost data and deposits analytics, reducing data loss risk and enabling more trustworthy business decisions. - Improved model readability and maintainability through descriptive aliases and better-structured SQL (dbt models). Technologies/skills demonstrated: - dbt modeling, advanced SQL (joins, CTEs, aggregation), data pipeline reliability improvements, and commit-traceable changes.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Extended Search Radius Analytics for the pass-culture/data-gcp dataset, enabling measurement of whether users extend their search radius during a session by adding has_extended_search_radius to firebase_aggregated_search_events and updating the SQL pipeline to surface the metric. The work provides actionable insights for product optimization and marketing experimentation, with clear traceability through a named commit.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered Extended Search Radius Analytics for the pass-culture/data-gcp dataset, enabling measurement of whether users extend their search radius during a session by adding has_extended_search_radius to firebase_aggregated_search_events and updating the SQL pipeline to surface the metric. The work provides actionable insights for product optimization and marketing experimentation, with clear traceability through a named commit.
March 2025
9 Commits • 3 Features
Mar 1, 2025March 2025 performance summary for pass-culture/data-gcp: Delivered core data platform enhancements, regional data modeling, and gamification features that strengthen analytics, cross-market insights, and user engagement. Focused on business value, data quality, and scalable schema evolution to support broader adoption.
9 Commits • 3 Features
Mar 1, 2025March 2025 performance summary for pass-culture/data-gcp: Delivered core data platform enhancements, regional data modeling, and gamification features that strengthen analytics, cross-market insights, and user engagement. Focused on business value, data quality, and scalable schema evolution to support broader adoption.
March 2025
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025 monthly data platform summary for pass-culture/data-gcp: Delivered foundational analytics and financial data model enhancements to improve performance, coverage, and business insights. Focused on storage optimization, analytics-ready schemas, and richer depositor/transaction analytics, enabling faster queries and more accurate reporting for marketing, engagement, and finance.
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025 monthly data platform summary for pass-culture/data-gcp: Delivered foundational analytics and financial data model enhancements to improve performance, coverage, and business insights. Focused on storage optimization, analytics-ready schemas, and richer depositor/transaction analytics, enabling faster queries and more accurate reporting for marketing, engagement, and finance.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for pass-culture/data-gcp focusing on analytics data-models and mart consolidation for attribution and social network metrics. Delivered initial and refactored acquisition_campaign models to enable accurate install attribution and cost processing, and introduced social network models with dedicated intermediate and mart tables to unify Instagram and TikTok metrics into a single analytics view. These efforts enable more reliable marketing ROI analysis and scalable data architecture.
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for pass-culture/data-gcp focusing on analytics data-models and mart consolidation for attribution and social network metrics. Delivered initial and refactored acquisition_campaign models to enable accurate install attribution and cost processing, and introduced social network models with dedicated intermediate and mart tables to unify Instagram and TikTok metrics into a single analytics view. These efforts enable more reliable marketing ROI analysis and scalable data architecture.
January 2025
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for pass-culture/data-gcp: Delivered major documentation updates for global data models and enhancements to analytics data quality. This included comprehensive docs for the global educational deposit and institution data models, expanded global favorite feature documentation with refined columns and user_city_code integration, and improvements to user activity categorization to boost labeling precision and data accuracy. These efforts improve data discoverability, governance, and analytics reliability, enabling faster decision-making and safer data-driven features across product and analytics teams.
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for pass-culture/data-gcp: Delivered major documentation updates for global data models and enhancements to analytics data quality. This included comprehensive docs for the global educational deposit and institution data models, expanded global favorite feature documentation with refined columns and user_city_code integration, and improvements to user activity categorization to boost labeling precision and data accuracy. These efforts improve data discoverability, governance, and analytics reliability, enabling faster decision-making and safer data-driven features across product and analytics teams.
November 2024
8 Commits • 3 Features
Nov 1, 2024November 2024 highlights: Delivered data-model and analytics improvements for the pass-culture/data-gcp platform, driving higher data quality, governance, and business insights. Implemented Venue and Feedback Data Model Enhancements, boosting analytics with venue_image_source, native user feedback model, and enriched booking origin data. Strengthened Analytics Data Quality and Event Tracking by introducing AccountCreated, refining user activity categorization, and excluding virtual venues from cohorts to improve reporting accuracy. Documented Global Data Models in dbt to clarify definitions and governance for offerers and venue providers. These changes, tracked via targeted commits, unlocked richer analytics, better data governance, and more reliable cohorts, enabling data-driven product decisions and operational improvements.
8 Commits • 3 Features
Nov 1, 2024November 2024 highlights: Delivered data-model and analytics improvements for the pass-culture/data-gcp platform, driving higher data quality, governance, and business insights. Implemented Venue and Feedback Data Model Enhancements, boosting analytics with venue_image_source, native user feedback model, and enriched booking origin data. Strengthened Analytics Data Quality and Event Tracking by introducing AccountCreated, refining user activity categorization, and excluding virtual venues from cohorts to improve reporting accuracy. Documented Global Data Models in dbt to clarify definitions and governance for offerers and venue providers. These changes, tracked via targeted commits, unlocked richer analytics, better data governance, and more reliable cohorts, enabling data-driven product decisions and operational improvements.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness92.8%
Maintainability92.0%
Architecture91.0%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JinjaMarkdownPythonSQLYAML
Technical Skills
AnalyticsBigQueryData EngineeringData ModelingData WarehousingDocumentationETLSQLdbt
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline