Build, optimize, and maintain production data pipelines using SQL, dbt, Python, and PySpark. Own data quality testing, workflow monitoring, alert management, failure debugging, schema drift handling, and CI/CD deployment. Transform large-scale datasets in a Databricks Lakehouse environment while ensuring reliable performance and data integrity. Clearly communicate technical issues, root causes, resolutions, and action plans to technical teams and business stakeholders.