
Worked on the mozilla/bigquery-etl repository to deliver an analytics feature upgrade focused on campaign attribution accuracy. Updated the android_app_campaign_stats SQL view to leverage the v2 underlying table, aligning data access with the latest schema and enabling GCLID-based attribution. This change improved the precision of downstream dashboards and business intelligence reporting by ensuring attribution data reflected current methodologies. The work involved careful use of BigQuery and SQL, with a clean, review-friendly approach that documented the scope for future iterations. No bugs were addressed during this period, with efforts concentrated on delivering a targeted, high-impact feature within the analytics pipeline.
March 2025 monthly summary for mozilla/bigquery-etl focusing on business value and technical achievements. Delivered an analytics feature upgrade and prepared the data pipeline for GCLID-based attribution, improving data accuracy and downstream reporting.
March 2025 monthly summary for mozilla/bigquery-etl focusing on business value and technical achievements. Delivered an analytics feature upgrade and prepared the data pipeline for GCLID-based attribution, improving data accuracy and downstream reporting.

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