
Brandon Wells contributed to the mozilla/bigquery-etl and mozilla/looker-spoke-default repositories by building and refining data infrastructure for forecast and retention analytics. He developed governance-friendly forecast data delivery, introducing temporary datasets with granular access controls and a robust mozaic_daily forecast table using BigQuery and SQL. His work included schema upgrades to support both glean and legacy telemetry, deduplication logic for data integrity, and metadata improvements for discoverability. In mozilla/looker-spoke-default, he fixed multi-year chart labeling in retention dashboards, enhancing year-over-year analysis accuracy. Brandon’s engineering demonstrated depth in data engineering, cloud infrastructure, and cross-team collaboration, resulting in more reliable analytics workflows.
February 2026 monthly summary for mozilla/bigquery-etl: Focused on upgrading the Mozaic Forecasts table to a version 2 with an updated schema to support both glean and legacy telemetry, and implementing data view deduplication to ensure unique records. Also updated the data view to point to v2 and added a qualify statement to improve data quality and correctness. Resulting improvements in forecast reliability, data integrity, and maintainability.
February 2026 monthly summary for mozilla/bigquery-etl: Focused on upgrading the Mozaic Forecasts table to a version 2 with an updated schema to support both glean and legacy telemetry, and implementing data view deduplication to ensure unique records. Also updated the data view to point to v2 and added a qualify statement to improve data quality and correctness. Resulting improvements in forecast reliability, data integrity, and maintainability.
January 2026 focused on data accuracy improvements for multi-year chart visualizations in retention dashboards within mozilla/looker-spoke-default. Implemented a bug fix to ensure correct year extraction and x-axis labeling based on the current date, improving the reliability of year-over-year (YoY) analyses across desktop and mobile views. The change was delivered as a single commit, enhancing the clarity and usefulness of retention metrics for business decision-making.
January 2026 focused on data accuracy improvements for multi-year chart visualizations in retention dashboards within mozilla/looker-spoke-default. Implemented a bug fix to ensure correct year extraction and x-axis labeling based on the current date, improving the reliability of year-over-year (YoY) analyses across desktop and mobile views. The change was delivered as a single commit, enhancing the clarity and usefulness of retention metrics for business decision-making.
December 2025 monthly summary for mozilla/bigquery-etl: Delivered governance-friendly forecast data delivery and mosaic daily forecast components. Implemented temporary forecast datasets with per-workgroup access (edit/view permissions) and added dataEditor permissions for the external-outerbounds-task-default workgroup, plus read access for the OB SA. Introduced mozaic_daily forecast table and view with proper schema, metadata, and date formatting to improve accessibility, governance, and reliability of forecast workflows. Migrated related datasets to temporary versions to facilitate testing and governance. Addressed CI reliability improvements by resolving CircleCI issues (removing problematic query.py, adjusting metadata) and aligning with cloudops-infra. Coordinated with cross-functional teams (co-authored commits) to ensure alignment and smooth deployment.
December 2025 monthly summary for mozilla/bigquery-etl: Delivered governance-friendly forecast data delivery and mosaic daily forecast components. Implemented temporary forecast datasets with per-workgroup access (edit/view permissions) and added dataEditor permissions for the external-outerbounds-task-default workgroup, plus read access for the OB SA. Introduced mozaic_daily forecast table and view with proper schema, metadata, and date formatting to improve accessibility, governance, and reliability of forecast workflows. Migrated related datasets to temporary versions to facilitate testing and governance. Addressed CI reliability improvements by resolving CircleCI issues (removing problematic query.py, adjusting metadata) and aligning with cloudops-infra. Coordinated with cross-functional teams (co-authored commits) to ensure alignment and smooth deployment.

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