• Developed and maintained scalable data pipelines to process and analyze large volumes of clinical and operational data, enhancing data accessibility and improving reporting efficiency.• Collaborated with cross-functional teams, including data scientists and healthcare professionals, to identify data requirements and deliver insights that supported clinical decision-making.• Designed and optimized ETL processes using Python and SQL, facilitating the integration of data from multiple sources, including various internal and external databases.

• Conducted data analysis to identify trends and insights, generating reports that influenced strategic business decisions and improved operational efficiency.• Created interactive dashboards in Tableau and Power BI to visualize key performance metrics, enhancing data accessibility for non-technical stakeholders.• Developed SQL queries to extract, manipulate, and analyze data from relational databases, providing actionable insights to various business units.