
During March 2025, Baffour delivered an analytics feature upgrade for the mozilla/bigquery-etl repository, focusing on enhancing campaign attribution accuracy. He updated the android_app_campaign_stats SQL view to leverage the v2 schema, incorporating GCLID-based attribution to improve data precision for downstream dashboards and business intelligence reporting. Using BigQuery and SQL, Baffour aligned data access with the latest schema changes, ensuring that attribution data remained current and reliable. The work was scoped to a focused, review-friendly SQL update, with clear documentation to support future iterations. This contribution addressed evolving business needs by refining the data pipeline for more accurate campaign analytics.
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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