
Data Engineer with a Master’s in Business Analytics and hands-on experience designing and automating data pipelines, building analytics-ready data models, and delivering reliable data for reporting and machine learning. Proficient in Python, SQL, and R, with experience in ETL development, data integration, and data quality validation across public health data systems. Built automated pipelines and BI dashboards (Power BI, Tableau) that turned raw, multi-source data into trusted operational insight for stakeholders. Experienced managing sensitive data under strict donor and compliance requirements (UNDP, USAID, CDC), with a strong focus on data governance, accuracy, and auditability.