How do you implement and maintain data quality at scale? What frameworks, tools, and metrics do you use to measure and improve data quality?

Sample answer preview

Data quality at scale requires a systematic approach that combines automated validation, clear ownership, and continuous monitoring. Without it, bad data propagates through pipelines and erodes trust in analytics and machine learning models.