Summary
Fiona Ding is a data engineer with 10 years of experience building data-driven solutions across healthcare and tech, currently shaping pipelines and analytics at Meta from Redwood City. She combines a physics-backed analytical mindset with practical engineering—designing ETL systems, automating pipelines with Luigi, and deploying ML models to improve clinical and operational outcomes. Her background spans end-to-end data work: database design and VBA front-ends for county social services, large-scale ROOT/C++ analysis in high-energy physics, and production data engineering at Crossover Health. Fiona is a fast learner who translates complex scientific problems into reliable, maintainable data systems, and outside work she signals a curiosity for diverse pursuits that inform creative problem solving.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Physics, Minor: Mathematical Sciences, Bachelor of Science (BS), Physics, Minor: Mathematical Sciences at Carnegie Mellon University
Master's degree, 2011, Physics, Master's degree, 2011, Physics at UC Davis