Vijay

Inconsistent date formats cost companies thousands of hours in data cleanup every year. Standardize early, standardize often. #DataEngineering

<p>Inconsistent date formats cost companies thousands of hours in data cleanup every year. Standardize early, standardize often. #DataEngineering</p>

Inconsistent date formats cost companies thousands of hours in data cleanup every year. Standardize early, standardize often. #DataEngineering

Most teams think they have a data problem. They don't. They have a data quality problem. Fix your data quality → Fix your decisions. #DataQuality

Inconsistent date formats cost companies thousands of hours in data cleanup every year. Standardize early, standardize often. #DataEngineering

Data Quality Engineering in 2025: Expectation: ML-powered anomaly detection, auto-healing pipelines, real-time monitoring Reality: Frantically Slacking "why is yesterday's data missing?" at 9 AM while your Airflow DAG silently failed 6 hours ago We've all been there.

Building this for @PredictableData - our data quality SaaS platform Curious: Has anyone else experimented with AI-managed test suites? What worked? What didn't? 🔗 predictabledata.com #AI #DataQuality #Testing #DataEngineering