Summary
Nancy Wong is a Senior Data Developer based in Portland with eight years focused on building robust data pipelines and big-data platforms across GCP and AWS. She combines hands-on expertise in Spark/Scala, Apache Beam, Databricks and Terraform with a long history of ETL, validation and infrastructure work dating back to roles at Mozilla, Healthline and Shopify. Her background in applied mathematics, statistics and financial math complements practical engineering skills in Python, SQL, Docker, Kubernetes and Airflow, enabling reliable production ML and analytics workflows. Nancy’s early cross-disciplinary experience—from architecture and model-making to quantitative research and QA tooling—gives her an unusual mix of rigorous numerical thinking and pragmatic system design. She’s adept at translating complex stakeholder requirements into auditable, scalable data solutions and thrives on optimizing end-to-end pipelines for accuracy and performance.
8 years of coding experience
21 years of employment as a software developer
M.A., Applied Mathematics, M.A., Applied Mathematics at Temple University
Financial Mathematics, Financial Mathematics at New York University
Sc.B., Statistics, Theatre Arts, Computer Science, Sc.B., Statistics, Theatre Arts, Computer Science at Brown University
Architecture, Architecture at University of Pennsylvania