mozilla/looker-spoke-default
Oct 2024 – Oct 2025
10 Months active
Languages Used
LKMLLookMLSQL
Technical Skills
CachingData WarehousingLookerData ModelingData VisualizationETL
Anna Scholtz
PROFILE
Anna Scholtz
Over ten months, Andrew Scholtz engineered analytics and data infrastructure enhancements in the mozilla/looker-spoke-default repository, focusing on business intelligence, dashboard performance, and data model reliability. He implemented datagroup-based caching, streamlined LookML models, and introduced features such as dashboard load time metrics and cross-platform OKR analytics. Using LookML and SQL, Andrew refactored complex derived tables, standardized data freshness strategies, and expanded secure data source integrations with OAuth. His work reduced technical debt, improved dashboard maintainability, and enabled faster, more accurate analytics. The depth of his contributions reflects strong skills in data modeling, ETL, and repository management for scalable analytics solutions.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
35Total
Bugs
5
Commits
35
Features
16
Lines of code
9,097
Activity Months10
Your Network
383 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focused on delivering business-value features and maintaining code health in mozilla/looker-spoke-default.
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focused on delivering business-value features and maintaining code health in mozilla/looker-spoke-default.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 (mozilla/looker-spoke-default): Delivered a key feature improvement by simplifying the Firefox Desktop LTV view. Replaced a complex derived table with a direct reference to mozdata.ltv.firefox_desktop_client_ltv, preserving data fidelity and dashboard behavior while reducing SQL complexity and future maintenance burden. No major bugs fixed this period; the refactor reduces risk and simplifies ongoing changes. Overall impact: cleaner data model, faster analyst iteration, and a foundation for upcoming enhancements. Technologies/skills demonstrated: SQL refactoring, direct table referencing, version-controlled changes (commit eac53ab2db55a17bd9d61b47c5dae3098a05e92f), collaboration with data engineering, and Looker data modeling.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 (mozilla/looker-spoke-default): Delivered a key feature improvement by simplifying the Firefox Desktop LTV view. Replaced a complex derived table with a direct reference to mozdata.ltv.firefox_desktop_client_ltv, preserving data fidelity and dashboard behavior while reducing SQL complexity and future maintenance burden. No major bugs fixed this period; the refactor reduces risk and simplifies ongoing changes. Overall impact: cleaner data model, faster analyst iteration, and a foundation for upcoming enhancements. Technologies/skills demonstrated: SQL refactoring, direct table referencing, version-controlled changes (commit eac53ab2db55a17bd9d61b47c5dae3098a05e92f), collaboration with data engineering, and Looker data modeling.
August 2025
9 Commits • 3 Features
Aug 1, 2025August 2025 Monthly Summary for mozilla/looker-spoke-default: Delivered cross-platform analytics enhancements and a critical bug fix, driving stronger data-driven decisions and a cleaner monitoring UX. Key features delivered include: (1) OKR Tiles Aggregation for Desktop and Mobile enabling year-over-year analysis of engagement, new profiles, and retention across two-year views; (2) New Tab Dashboard Analytics Enhancements with new aggregate tables and a CTR metric for organic tiles; (3) Active Users Analytics and Forecasts Improvements with geo-region tracking, KPI reporting group distinctions, and product-category forecasts across platforms. Major bug fix: Cleanup of Unused Explores in the Monitoring Model to declutter the interface and improve maintainability. Impact: faster, more accurate YoY and geo-driven insights, improved KPI forecasting, and a streamlined monitoring experience. Technologies/skills: Looker modeling, aggregate-table design, performance optimizations, geo analytics, CTR and forecast analytics, cross-platform data normalization.
9 Commits • 3 Features
Aug 1, 2025August 2025 Monthly Summary for mozilla/looker-spoke-default: Delivered cross-platform analytics enhancements and a critical bug fix, driving stronger data-driven decisions and a cleaner monitoring UX. Key features delivered include: (1) OKR Tiles Aggregation for Desktop and Mobile enabling year-over-year analysis of engagement, new profiles, and retention across two-year views; (2) New Tab Dashboard Analytics Enhancements with new aggregate tables and a CTR metric for organic tiles; (3) Active Users Analytics and Forecasts Improvements with geo-region tracking, KPI reporting group distinctions, and product-category forecasts across platforms. Major bug fix: Cleanup of Unused Explores in the Monitoring Model to declutter the interface and improve maintainability. Impact: faster, more accurate YoY and geo-driven insights, improved KPI forecasting, and a streamlined monitoring experience. Technologies/skills: Looker modeling, aggregate-table design, performance optimizations, geo analytics, CTR and forecast analytics, cross-platform data normalization.
August 2025
June 2025
6 Commits • 2 Features
Jun 1, 2025June 2025 highlights for mozilla/looker-spoke-default: Delivered the Dashboard Load Time Metrics feature to enhance performance visibility with percentile-based timings for metadata loading, data reception, and tile rendering, including a new metrics view and updated explores to ensure accurate filtering and joining. Executed a comprehensive codebase cleanup removing unused LookML components, models, and content, trimming the data modeling surface and reducing technical debt. No major bug fixes were recorded this month; primary focus was on delivering business value through performance analytics and code health improvements. Impact includes faster issue triage, more reliable dashboards, and improved maintainability, enabling the team to iterate more quickly on analytics features. Demonstrated proficiency in LookML modeling, data visualization design, code cleanup/refactoring, and version control discipline.
June 2025
6 Commits • 2 Features
Jun 1, 2025June 2025 highlights for mozilla/looker-spoke-default: Delivered the Dashboard Load Time Metrics feature to enhance performance visibility with percentile-based timings for metadata loading, data reception, and tile rendering, including a new metrics view and updated explores to ensure accurate filtering and joining. Executed a comprehensive codebase cleanup removing unused LookML components, models, and content, trimming the data modeling surface and reducing technical debt. No major bug fixes were recorded this month; primary focus was on delivering business value through performance analytics and code health improvements. Impact includes faster issue triage, more reliable dashboards, and improved maintainability, enabling the team to iterate more quickly on analytics features. Demonstrated proficiency in LookML modeling, data visualization design, code cleanup/refactoring, and version control discipline.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for mozilla/looker-spoke-default. Focused on reliability, performance, and analytics usability. Key achievements include standardizing data persistence with datagroups across frequently used explores, consolidating caching by removing per-model persist_for, and delivering enhanced experiment enrollment dashboards with cumulative crash rate visualizations and real-time, listen-based filtering. A rollback was performed to revert dashboard configuration changes that impacted stability (event count fields, filters, and time range handling). These efforts improve data reliability, dashboard accuracy, and developer velocity by reducing ad-hoc config drift and enabling faster, safer changes. Also demonstrated strong skills in data persistence architecture, caching strategy simplification, and real-time UI behavior with robust rollback procedures.
5 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for mozilla/looker-spoke-default. Focused on reliability, performance, and analytics usability. Key achievements include standardizing data persistence with datagroups across frequently used explores, consolidating caching by removing per-model persist_for, and delivering enhanced experiment enrollment dashboards with cumulative crash rate visualizations and real-time, listen-based filtering. A rollback was performed to revert dashboard configuration changes that impacted stability (event count fields, filters, and time range handling). These efforts improve data reliability, dashboard accuracy, and developer velocity by reducing ad-hoc config drift and enabling faster, safer changes. Also demonstrated strong skills in data persistence architecture, caching strategy simplification, and real-time UI behavior with robust rollback procedures.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for mozilla/looker-spoke-default focused on stabilizing Looker reports and improving data freshness management. Delivered targeted LookML improvements that reduced erroneous data paths and streamlined data delivery, enhancing reliability of dashboards and data models used for business decision-making.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for mozilla/looker-spoke-default focused on stabilizing Looker reports and improving data freshness management. Delivered targeted LookML improvements that reduced erroneous data paths and streamlined data delivery, enhancing reliability of dashboards and data models used for business decision-making.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 focused on expanding analytics capabilities in the mozilla/looker-spoke-default project by reintroducing Experiment Analytics and broadening data source connectivity through OAuth-enabled access. Delivered LookML modeling improvements, new dashboards, and secure integrations that enable integrated visualization of experiment-related data and expanded data coverage for Jira Service Desk and Zoom data. Demonstrated competence in LookML, data modeling, OAuth-based data access, and dashboard design to accelerate actionable insights for product and business decisions.
3 Commits • 2 Features
Feb 1, 2025February 2025 focused on expanding analytics capabilities in the mozilla/looker-spoke-default project by reintroducing Experiment Analytics and broadening data source connectivity through OAuth-enabled access. Delivered LookML modeling improvements, new dashboards, and secure integrations that enable integrated visualization of experiment-related data and expanded data coverage for Jira Service Desk and Zoom data. Demonstrated competence in LookML, data modeling, OAuth-based data access, and dashboard design to accelerate actionable insights for product and business decisions.
February 2025
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for mozilla/looker-spoke-default. Delivered key features to improve experiment analytics and environment monitoring, fixed critical import-related build issues, and cleaned up model reliability gaps. These results enhanced observability, data quality, and operational efficiency, enabling faster, data-driven decisions while reducing maintenance overhead.
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for mozilla/looker-spoke-default. Delivered key features to improve experiment analytics and environment monitoring, fixed critical import-related build issues, and cleaned up model reliability gaps. These results enhanced observability, data quality, and operational efficiency, enabling faster, data-driven decisions while reducing maintenance overhead.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for mozilla/looker-spoke-default: Delivered a targeted cleanup of the Experimentation Dashboard to streamline analytics surfaces, reduce maintenance overhead, and support faster experimentation iteration. Changes focus on removing deprecated views and unused LookML definitions from Looker dashboards, enhancing reliability and clarity for analysts and product stakeholders.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for mozilla/looker-spoke-default: Delivered a targeted cleanup of the Experimentation Dashboard to streamline analytics surfaces, reduce maintenance overhead, and support faster experimentation iteration. Changes focus on removing deprecated views and unused LookML definitions from Looker dashboards, enhancing reliability and clarity for analysts and product stakeholders.
December 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Focus: performance optimization through a datagroup-based caching layer for event data. Delivered Event data caching for Fenix Android and Firefox iOS by introducing a 24-hour cache window driven by last_modified on events_v1, using datagroups. Commit e6a34038e03fa1dd878f6335f15e147776060406: Add caching via datagroups for Fenix and Firefox iOS events_unnested. Major bugs fixed: none reported this month. Impact: improved data retrieval efficiency and reduced API load for event data, enabling smoother mobile experiences and laying groundwork for broader cache strategy. Technologies/skills demonstrated: caching strategies, cross-platform data patterns, datagroups, last_modified-based invalidation, monorepo collaboration (mozilla/looker-spoke-default).
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 – Focus: performance optimization through a datagroup-based caching layer for event data. Delivered Event data caching for Fenix Android and Firefox iOS by introducing a 24-hour cache window driven by last_modified on events_v1, using datagroups. Commit e6a34038e03fa1dd878f6335f15e147776060406: Add caching via datagroups for Fenix and Firefox iOS events_unnested. Major bugs fixed: none reported this month. Impact: improved data retrieval efficiency and reduced API load for event data, enabling smoother mobile experiences and laying groundwork for broader cache strategy. Technologies/skills demonstrated: caching strategies, cross-platform data patterns, datagroups, last_modified-based invalidation, monorepo collaboration (mozilla/looker-spoke-default).
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.8%
Architecture93.4%
Performance90.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
LKMLLookMLSQL
Technical Skills
Business IntelligenceCachingCode CleanupConfiguration ManagementDashboard ConfigurationDashboard DevelopmentData EngineeringData ModelingData VisualizationData WarehousingDatabase ManagementETLLookMLLookerLooker Development
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