Balogun Emmanuel

Data Engineer @Institute For Health Logistics & Analytics

Engineered and maintained high-reliability ETL processes in Python and SQL, integrating over 10 diverse, high-volumedata sources to build a centralized data solution that accelerated data availability by 40%.• Architected a suite of Python scripts for automated data quality monitoring and alerting within a Linux environment,achieving 99% data integrity and enhancing overall pipeline reliability.• Optimized data pipeline efficiency by designing and implementing scalable data cleaning and transformation logic,directly supporting critical downstream systems and analytical workflows.• Collaborated with key stakeholders to build and deliver curated datasets for predictive modeling, creating a robust datafoundation that improved operational forecasting accuracy by 25%.