Data Quality Engineering & FrameworksDesign and implement enterprise-wide data quality frameworks aligned to Lakehouse architecture (bronze, silver, gold layers) Define and enforce data quality rules including completeness, accuracy, consistency, timeliness, and validity Develop reusable data validation, reconciliation, and monitoring patterns within Databricks pipelines Establish automated data quality checks embedded within ELT/ETL workflows Databricks & Pipeline Integration Integrate data qua