mozilla-mobile/testops-looker
Feb 2025 – Sep 2025
6 Months active
Languages Used
LookMLLKMLSQLLiquid
Technical Skills
Business IntelligenceData ModelingLookerData AnalysisData EngineeringData Visualization
Aaron Train
PROFILE
Aaron Train
During six months on the mozilla-mobile/testops-looker repository, Atrain developed and refined analytics features to enhance Android test operations and bug triage. They built LookML views and explores for daily and monthly Android metrics, job performance, and Bugzilla keyword search, enabling richer data exploration and operational insight. Their technical approach combined LookML, SQL, and Liquid templating to deliver parameterized filtering, robust data modeling, and accurate metric calculations. Atrain improved dashboard visibility, artifact coverage, and reliability scoring, addressing data quality and usability. Their work demonstrated depth in business intelligence, data engineering, and Looker development, resulting in maintainable, user-driven analytics for stakeholders.
Overall Statistics
Feature vs Bugs
97%Features
Repository Contributions
118Total
Bugs
1
Commits
118
Features
28
Lines of code
2,328
Activity Months6
Your Network
357 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for mozilla-mobile/testops-looker: Delivered Bugzilla keyword search capability in Looker with a new Looker view and explore, enabling keyword-based querying of Bugzilla issues and richer data exploration across bug attributes. No separate major bug fixes reported this month. The work directly enhances triage speed, reporting accuracy, and analytics for mobile test ops.
2 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for mozilla-mobile/testops-looker: Delivered Bugzilla keyword search capability in Looker with a new Looker view and explore, enabling keyword-based querying of Bugzilla issues and richer data exploration across bug attributes. No separate major bug fixes reported this month. The work directly enhances triage speed, reporting accuracy, and analytics for mobile test ops.
September 2025
August 2025
14 Commits • 1 Features
Aug 1, 2025August 2025—Delivered a robust Android Job Performance View with parameterized filtering and comprehensive LookML/Liquid enhancements to ensure explicit, user-driven metrics retrieval. Completed a focused series of parameter handling fixes and resiliency improvements across the android_job_performance_view, improving data accuracy, stability, and readiness for future analytics, with positive business impact by enabling precise performance insights for stakeholders.
August 2025
14 Commits • 1 Features
Aug 1, 2025August 2025—Delivered a robust Android Job Performance View with parameterized filtering and comprehensive LookML/Liquid enhancements to ensure explicit, user-driven metrics retrieval. Completed a focused series of parameter handling fixes and resiliency improvements across the android_job_performance_view, improving data accuracy, stability, and readiness for future analytics, with positive business impact by enabling precise performance insights for stakeholders.
May 2025
12 Commits • 4 Features
May 1, 2025May 2025 monthly summary for mozilla-mobile/testops-looker focused on delivering robust Android test analytics and enhancing metric reliability to drive better product decisions and release readiness.
12 Commits • 4 Features
May 1, 2025May 2025 monthly summary for mozilla-mobile/testops-looker focused on delivering robust Android test analytics and enhancing metric reliability to drive better product decisions and release readiness.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused on enhancing Android metrics visibility and ensuring complete artifact coverage in dashboards. Key feature delivered: Android Metrics filtering extended to include test-apk artifacts by updating the taskcluster_android_metrics_view LookML to adjust the task label filtering regex. This enables Android test artifacts to be captured in metrics collection and reflected in dashboards. No major bugs reported blocking metrics collection. Overall impact: improved data quality and visibility for Android testing, enabling data-driven decisions on QA investments and test strategy. Technologies/skills demonstrated: LookML, regex-based filtering, metrics pipelines, commit-based changes, and cross-repo collaboration in mozilla-mobile/testops-looker.
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Focused on enhancing Android metrics visibility and ensuring complete artifact coverage in dashboards. Key feature delivered: Android Metrics filtering extended to include test-apk artifacts by updating the taskcluster_android_metrics_view LookML to adjust the task label filtering regex. This enables Android test artifacts to be captured in metrics collection and reflected in dashboards. No major bugs reported blocking metrics collection. Overall impact: improved data quality and visibility for Android testing, enabling data-driven decisions on QA investments and test strategy. Technologies/skills demonstrated: LookML, regex-based filtering, metrics pipelines, commit-based changes, and cross-repo collaboration in mozilla-mobile/testops-looker.
March 2025
85 Commits • 20 Features
Mar 1, 2025March 2025 monthly summary for mozilla-mobile/testops-looker: Delivered Android-focused visibility and telemetry improvements that deepen operational insight, improve data quality, and accelerate decision-making for mobile test operations. The work lays a stronger foundation for cross-product metrics, reliability, and performance analytics while advancing platform-wide consistency and developer velocity.
85 Commits • 20 Features
Mar 1, 2025March 2025 monthly summary for mozilla-mobile/testops-looker: Delivered Android-focused visibility and telemetry improvements that deepen operational insight, improve data quality, and accelerate decision-making for mobile test operations. The work lays a stronger foundation for cross-product metrics, reliability, and performance analytics while advancing platform-wide consistency and developer velocity.
March 2025
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025: Delivered LookML analytics enhancements for Fenix Android in the testops-looker project. Implemented the Fenix Daily Android LookML view and model with new dimensions (failed_runs, failure_rate, flaky_runs, flaky_rate, total_runs) and a date dimension group, plus an explore to surface daily Android test analytics. Fixed the percentage display for failure_rate and flaky_rate to ensure accurate percent formatting, replacing raw values. These changes improve visibility into daily test reliability and accelerate data-driven decision making for QA, engineering, and product teams.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025: Delivered LookML analytics enhancements for Fenix Android in the testops-looker project. Implemented the Fenix Daily Android LookML view and model with new dimensions (failed_runs, failure_rate, flaky_runs, flaky_rate, total_runs) and a date dimension group, plus an explore to surface daily Android test analytics. Fixed the percentage display for failure_rate and flaky_rate to ensure accurate percent formatting, replacing raw values. These changes improve visibility into daily test reliability and accelerate data-driven decision making for QA, engineering, and product teams.
Activity
Loading activity data...
Quality Metrics
Correctness87.8%
Maintainability90.6%
Architecture83.8%
Performance84.0%
AI Usage20.2%
Skills & Technologies
Programming Languages
LKMLLiquidLookMLSQL
Technical Skills
Business IntelligenceData AnalysisData EngineeringData ModelingData VisualizationDatabaseETLLookMLLookML DevelopmentLookerLooker DevelopmentSQLSQL Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline