Develop and troubleshoot production data pipelines using Python, PySpark, SQL, and AWS services. Build analytics-ready datasets, KPIs, cohort analyses, segmentation, customer lifecycle insights, marketing attribution reporting, and Power BI metrics. Investigate data quality and pipeline issues, maintain governance and documentation, and translate business requirements into measurable outcomes while collaborating with technical and business stakeholders.