June 2026 monthly summary for mozilla/bigquery-etl: Key features delivered and major fixes implemented to improve backlog reporting accuracy and data reliability. The changes enable point-in-time backlog counts, enhanced data modeling, and robust backfill to ensure historical consistency. Business impact includes more reliable planning, improved SLA reporting, and stronger data integrity across KPI dashboards.

In May 2026, mozilla/bigquery-etl delivered impactful analytics enhancements for Zendesk customer experience KPIs, broadening coverage and improving accuracy of the support metrics. The work included expanding the sumo_zendesk_sla_kpis to surface unresolved tickets and introducing a ticket_created_date grouping, enabling a complete, time-aware view of ticket handling performance. The CSAT reporting workflow was strengthened by counting neutral survey responses, addressing undercounting in the CSAT denominator, and introducing a survey_responded field with an updated schema. Together, these changes improve data completeness, governance, and the ability to drive operational improvements in support. Co-authored by Philip Lee, the changes reflect strong cross-team collaboration and rigorous SQL/data quality work.