Summary
Mariah A is a data engineer with 8 years of experience, currently delivering data acquisition, transformations, cleansing, and loading into analytics models at Procter & Gamble. She partners with business stakeholders, upstream platform teams, and downstream data consumers to translate requirements into scalable, high-quality data pipelines for real-time analysis and reporting, including insights that help optimize advertising spend by identifying which advertisers, times, and websites perform best. Her work spans diverse data sources and formats—relational databases, FTP sites, file shares, external drives, and compressed or uncompressed formats like gzip, zip, tar, json, csv, and Excel—emphasizing data quality and efficiency. Her career includes cross-functional leadership and project management at Solvay and engineering roles at SABIC, demonstrating versatility and a track record of delivering value across the data-to-insights lifecycle. Based in Cincinnati, Ohio, she combines curiosity, adaptability under time pressure, and a passion for enabling analysts and data scientists to unlock their full potential, with a visible enthusiasm for data science reflected in her GitHub bio.
9 years of coding experience
2 years of employment as a software developer
University of North Carolina at Chapel Hill
Spanish