Describe a time when you initiated a weekly data quality review with the analytics team to catch schema drift early.

Situation: Our dashboards were frequently breaking because upstream data sources changed schema without notice. Task: I needed to reduce these incidents and improve trust in our analytics. Action: I set up a weekly sync with the analytics team, where we reviewed dbt tests, examined recent schema changes, and updated documentation. I also implemented automated alerts for schema drift and created a shared repository of test results. Result: The number of dashboard failures dropped by 30% within three months, and the analytics team reported higher confidence in the data. The process also fostered better communication between engineering and analytics, reducing future friction.