pass-culture/data-gcp
Nov 2024 – Mar 2026
14 Months active
Languages Used
MarkdownSQLYAMLJinjaPython
Technical Skills
AnalyticsData EngineeringData ModelingData WarehousingDocumentationETL
tscheurer-pass
PROFILE
Tscheurer-pass
Over 14 months, contributed to the pass-culture/data-gcp repository by designing and evolving analytics-ready data models, ETL pipelines, and documentation to support business insights and operational reporting. Leveraged SQL, dbt, and Python to implement features such as enhanced venue and feedback analytics, financial and beneficiary data modeling, fraud tracking, and user segmentation. Integrated external data sources, optimized data warehousing for marketing and engagement analytics, and improved data governance through comprehensive documentation. Focused on maintainable, traceable code with clear commit practices, the work enabled richer analytics, improved data quality, and scalable infrastructure for product, marketing, and finance teams.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
48Total
Bugs
3
Commits
48
Features
24
Lines of code
2,743
Activity Months14
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: Delivered the Venue Volunteering URL Field by extending the venue data model, enabling direct access to volunteering opportunities at venues. Updated SQL scripts and documentation to support and reflect the new field. Maintained system stability with no reported critical bugs this month. This work enhances venue data completeness, supports better user engagement analytics, and positions us to surface volunteering opportunities more effectively.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for pass-culture/data-gcp: Delivered the Venue Volunteering URL Field by extending the venue data model, enabling direct access to volunteering opportunities at venues. Updated SQL scripts and documentation to support and reflect the new field. Maintained system stability with no reported critical bugs this month. This work enhances venue data completeness, supports better user engagement analytics, and positions us to surface volunteering opportunities more effectively.
March 2026
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly performance for pass-culture/data-gcp: Delivered two dbt-focused features that advance data modeling, personalization capabilities, and analytics readiness. Implemented Dark Mode Theme Data Model Integration, enabling import of dark mode properties into data models to support user-specific theme customization. Implemented Analytics Data Import from External Chronicle Tables by adding SQL files to import external chronicle data into dbt models, improving data accessibility for analytics. No critical bugs fixed this month for this repo. The combined work enhances business value by enabling personalized UX and more complete analytics with maintainable data pipelines. Technologies demonstrated include dbt, SQL, data modeling, and version-controlled ETL pipelines.
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly performance for pass-culture/data-gcp: Delivered two dbt-focused features that advance data modeling, personalization capabilities, and analytics readiness. Implemented Dark Mode Theme Data Model Integration, enabling import of dark mode properties into data models to support user-specific theme customization. Implemented Analytics Data Import from External Chronicle Tables by adding SQL files to import external chronicle data into dbt models, improving data accessibility for analytics. No critical bugs fixed this month for this repo. The combined work enhances business value by enabling personalized UX and more complete analytics with maintainable data pipelines. Technologies demonstrated include dbt, SQL, data modeling, and version-controlled ETL pipelines.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 Monthly Summary for pass-culture/data-gcp focusing on data-model expansion to support beneficiary data handling, analytics integration, and improved data quality. Delivered new user_beneficiary models and expanded general user models, with enhanced categorization by role and age. Integrated beneficiary data into analytics workflows to enable targeted insights and better reporting. Implemented DBT model work and schema changes, with associated code-quality improvements (linter, sqlfmt) and refactors to stabilize data flows. No high-severity defects reported this month; primary value realized through stronger data capabilities, improved segmentation, and scalable analytics infrastructure for beneficiary programs.
3 Commits • 1 Features
Nov 1, 2025November 2025 Monthly Summary for pass-culture/data-gcp focusing on data-model expansion to support beneficiary data handling, analytics integration, and improved data quality. Delivered new user_beneficiary models and expanded general user models, with enhanced categorization by role and age. Integrated beneficiary data into analytics workflows to enable targeted insights and better reporting. Implemented DBT model work and schema changes, with associated code-quality improvements (linter, sqlfmt) and refactors to stabilize data flows. No high-severity defects reported this month; primary value realized through stronger data capabilities, improved segmentation, and scalable analytics infrastructure for beneficiary programs.
November 2025
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness93.0%
Maintainability91.6%
Architecture90.8%
Performance87.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
JinjaMarkdownPythonSQLYAML
Technical Skills
AnalyticsBigQueryDBTData EngineeringData ModelingData WarehousingDocumentationETLSQLanalyticsdata analysisdata engineeringdata modelingdbt
Repositories Contributed To
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