mozilla-mobile/testops-looker
Nov 2024 – Oct 2025
10 Months active
Languages Used
LookMLLKMLSQL
Technical Skills
Data ModelingLooker DevelopmentDatabase DesignDatabase ManagementLookerBusiness Intelligence
Isabel Rios Escobar
PROFILE
Isabel Rios Escobar
Over ten months, Irios developed and maintained robust business intelligence and reporting solutions for the mozilla-mobile/testops-looker repository. He designed and implemented LookML data models and SQL-based ETL pipelines to support comprehensive QA, test, and bug analytics, enabling granular insights into TestRail, Jira, Bugzilla, and Bitrise data. His work included building reusable Looker explores, aligning data models with evolving schemas, and integrating production and staging data sources for reliable, audit-friendly dashboards. By focusing on data modeling, Looker development, and SQL, Irios improved reporting accuracy, streamlined data navigation, and reduced manual maintenance, delivering depth and consistency across the analytics platform.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
53Total
Bugs
2
Commits
53
Features
26
Lines of code
2,361
Activity Months10
Your Network
357 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary: Delivered foundational Looker-based reporting for TestOps, enabling desktop test execution and bug reporting via new LookML views and a Looker explore. Production data surfaces expanded to include desktop TestRail plans, runs, and results, and a staging-based overall bugs query was added to support comprehensive bug reporting. This work enhances visibility, reduces manual reporting, and strengthens data-driven QA decisions.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary: Delivered foundational Looker-based reporting for TestOps, enabling desktop test execution and bug reporting via new LookML views and a Looker explore. Production data surfaces expanded to include desktop TestRail plans, runs, and results, and a staging-based overall bugs query was added to support comprehensive bug reporting. This work enhances visibility, reduces manual reporting, and strengthens data-driven QA decisions.
October 2025
September 2025
8 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for mozilla-mobile/testops-looker. Delivered a set of Looker enhancements and data views to improve test planning, QA visibility, and release analytics. Implemented direct TestRail links in test plan/run views, launched Jira QA Requests and Bitrise Builds Looker Explores in production, expanded Bugzilla release flag bugs reporting with richer dimensions and per-release/time-based analysis, and fixed a release_version extraction bug in Bugzilla release flag bugs staging.
September 2025
8 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for mozilla-mobile/testops-looker. Delivered a set of Looker enhancements and data views to improve test planning, QA visibility, and release analytics. Implemented direct TestRail links in test plan/run views, launched Jira QA Requests and Bitrise Builds Looker Explores in production, expanded Bugzilla release flag bugs reporting with richer dimensions and per-release/time-based analysis, and fixed a release_version extraction bug in Bugzilla release flag bugs staging.
August 2025
8 Commits • 4 Features
Aug 1, 2025In August 2025, I focused on strengthening QA data visibility and LookML maintainability for the testops-looker project. Delivered key features to improve reporting accuracy, enable deeper data exploration, and reduce maintenance burden. These efforts support faster release readiness decisions and better QA insights across mozilla-mobile/testops-looker.
8 Commits • 4 Features
Aug 1, 2025In August 2025, I focused on strengthening QA data visibility and LookML maintainability for the testops-looker project. Delivered key features to improve reporting accuracy, enable deeper data exploration, and reduce maintenance burden. These efforts support faster release readiness decisions and better QA insights across mozilla-mobile/testops-looker.
August 2025
July 2025
5 Commits • 2 Features
Jul 1, 2025Monthly summary for 2025-07 for mozilla-mobile/testops-looker: Key features delivered include Bugzilla reporting enhancements in Looker (time-based bug resolution analysis; Bugzilla meta bug integration into the testops dashboard) and the Looker-based Test reporting model (data model for testing metrics with temporary tables for test plans/runs, new explores for test results localization and beta, and staging metrics from TestRail). Major bugs fixed: None documented in this period; work focused on feature delivery and data modeling for BI visibility. Overall impact and accomplishments: Established end-to-end BI foundation for bug and test telemetry, enabling time-based analysis of bug resolution, integration with Bugzilla meta bugs and TestRail-based staging metrics; faster, data-driven decisions for quality and release readiness; improved data availability via temporary tables and new Looker explores. Technologies/skills demonstrated: Looker data modeling, SQL-based data modeling, data integration (Bugzilla, TestRail), dashboarding and BI foundations, temporary data tables for testing metrics.
July 2025
5 Commits • 2 Features
Jul 1, 2025Monthly summary for 2025-07 for mozilla-mobile/testops-looker: Key features delivered include Bugzilla reporting enhancements in Looker (time-based bug resolution analysis; Bugzilla meta bug integration into the testops dashboard) and the Looker-based Test reporting model (data model for testing metrics with temporary tables for test plans/runs, new explores for test results localization and beta, and staging metrics from TestRail). Major bugs fixed: None documented in this period; work focused on feature delivery and data modeling for BI visibility. Overall impact and accomplishments: Established end-to-end BI foundation for bug and test telemetry, enabling time-based analysis of bug resolution, integration with Bugzilla meta bugs and TestRail-based staging metrics; faster, data-driven decisions for quality and release readiness; improved data availability via temporary tables and new Looker explores. Technologies/skills demonstrated: Looker data modeling, SQL-based data modeling, data integration (Bugzilla, TestRail), dashboarding and BI foundations, temporary data tables for testing metrics.
June 2025
10 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) delivered three major Looker Explores on mozilla-mobile/testops-looker: Sentry crash-free metrics, TestRail user data, and Bugzilla Softvision staging analytics. Implemented data-model alignment with the report_sentry_rates, introduced adoption_rate_user dimension, and refined naming for stable dashboards across staging and production. Added TestRail user data exploration with key attributes (creation timestamp, email, name, role, status) and user counts. Extended Bugzilla analytics with a release_version dimension extracted via regex from bugzilla_qa_whiteboard. These changes enable end-to-end visibility into stability, user engagement, and release readiness, driving faster, data-informed decisions across teams.
10 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) delivered three major Looker Explores on mozilla-mobile/testops-looker: Sentry crash-free metrics, TestRail user data, and Bugzilla Softvision staging analytics. Implemented data-model alignment with the report_sentry_rates, introduced adoption_rate_user dimension, and refined naming for stable dashboards across staging and production. Added TestRail user data exploration with key attributes (creation timestamp, email, name, role, status) and user counts. Extended Bugzilla analytics with a release_version dimension extracted via regex from bugzilla_qa_whiteboard. These changes enable end-to-end visibility into stability, user engagement, and release readiness, driving faster, data-informed decisions across teams.
June 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments in mozilla-mobile/testops-looker. Delivered production-level Jira worklog reporting with detailed entry views and per-user monthly totals, plus granular parent/child naming across staging and production to enhance reporting and analytics. These changes enable faster insights, better governance, and more efficient decision-making for product and operations teams.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments in mozilla-mobile/testops-looker. Delivered production-level Jira worklog reporting with detailed entry views and per-user monthly totals, plus granular parent/child naming across staging and production to enhance reporting and analytics. These changes enable faster insights, better governance, and more efficient decision-making for product and operations teams.
March 2025
9 Commits • 4 Features
Mar 1, 2025March 2025 - mozilla-mobile/testops-looker: Delivered comprehensive Looker analytics enhancements across iOS test analytics, incident reporting, staging worklogs, and Bitrise builds. Focused on data modeling, Explore/View additions, and drill-down capabilities to enable faster triage and data-driven decision making.
9 Commits • 4 Features
Mar 1, 2025March 2025 - mozilla-mobile/testops-looker: Delivered comprehensive Looker analytics enhancements across iOS test analytics, incident reporting, staging worklogs, and Bitrise builds. Focused on data modeling, Explore/View additions, and drill-down capabilities to enable faster triage and data-driven decision making.
March 2025
February 2025
5 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for mozilla-mobile/testops-looker. Focused on delivering data-view and reporting capabilities to support test operations analytics, with an emphasis on Looker-based exploration for TestRail milestones, Android and iOS test statistics, and Slack-integrated release visibility. No high-severity bugs reported; main work consisted of data model stabilization and creating reusable Looker explores to accelerate insight generation across platforms.
February 2025
5 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for mozilla-mobile/testops-looker. Focused on delivering data-view and reporting capabilities to support test operations analytics, with an emphasis on Looker-based exploration for TestRail milestones, Android and iOS test statistics, and Slack-integrated release visibility. No high-severity bugs reported; main work consisted of data model stabilization and creating reusable Looker explores to accelerate insight generation across platforms.
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 | mozilla-mobile/testops-looker: Delivered two new Looker views to enhance QA requests and milestone reporting, enabling more granular analytics, improved data-driven decision-making, and faster QA milestone insights. Focused on staging readiness and robust data modeling; documented changes for traceability. No major bugs fixed documented for this period.
2 Commits • 2 Features
Dec 1, 2024December 2024 | mozilla-mobile/testops-looker: Delivered two new Looker views to enhance QA requests and milestone reporting, enabling more granular analytics, improved data-driven decision-making, and faster QA milestone insights. Focused on staging readiness and robust data modeling; documented changes for traceability. No major bugs fixed documented for this period.
December 2024
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — Focused on data accuracy and stability for the TestOps Looker data model. Implemented a targeted bug fix to align the TestRail suites dimension with the database schema, ensuring reliable reporting in LookML and dashboards. The change reduces the risk of misreported metrics and improves stakeholder confidence in test coverage data.
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — Focused on data accuracy and stability for the TestOps Looker data model. Implemented a targeted bug fix to align the TestRail suites dimension with the database schema, ensuring reliable reporting in LookML and dashboards. The change reduces the risk of misreported metrics and improves stakeholder confidence in test coverage data.
Activity
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Quality Metrics
Correctness97.4%
Maintainability97.4%
Architecture97.0%
Performance95.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
LKMLLookMLSQL
Technical Skills
Business IntelligenceData ModelingDatabase DesignDatabase ManagementETLLookMLLookML DevelopmentLookerLooker DevelopmentSQLSQL Development
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