Benjamin Rains

Data Engineer with hands-on experience designing, building, and operating scalable ETL/ELT pipelines and analytics-ready data platforms. Strong background in SQL, Python, and data warehousing, with a focus on data quality, performance, and reliability. Experienced working cross-functionally with analysts, BI teams, and stakeholders to translate business requirements into trusted data systems in regulated, real-world environments.

I am a Data Engineer with hands-on experience designing, building, and operating production data platforms that support performance management and executive decision-making. I specialize in SQL- and Python-based ETL pipelines, analytics-ready data modeling, and data quality frameworks, with end-to-end ownership from ingestion through reporting. My background includes working in tightly regulated GLP and FDA environments where data integrity, auditability, and documentation were critical, which strongly informs how I design reliable data systems today. I’ve supported multi-location operations by translating complex operational workflows into scalable, well-documented data solutions, and I’m comfortable working in small, fast-moving teams while managing upstream change and production reliability.

I hold a Master’s degree in Data Analytics, which provided a strong foundation in statistical analysis, data engineering principles, and applied analytics. Complementing my formal education, I have extensive self-directed experience designing and building a production-grade dental analytics platform, where I applied SQL-first modeling, Python-based ETL pipelines, data quality frameworks, and performance management analytics in a real-world, multi-location environment. This combination of academic training and hands-on platform development has shaped a practical, systems-oriented approach to data engineering.