Summary
Longphi Nguyen is a Data Engineer with 10 years of experience building scalable ETL pipelines, analytics, and self-service tooling, currently driving data infrastructure at Amazon in Seattle. He blends a strong statistical foundation (M.S. in Statistics from UC Davis) with hands-on expertise in R, Python, SQL/SSIS/SSAS/SSRS, and production data engineering to turn business metrics into actionable insights visible to VP-level stakeholders. Previously he automated reporting and anomaly detection for Alexa, led BI solutions for financial clients, and embedded analytics into products to reduce manual work and highlight risk. Known for bridging research-grade modeling with pragmatic engineering, he has a track record of improving process efficiency and enabling nontechnical users to explore data independently. An early researcher in graph network analysis and large-scale text mining, he brings both academic rigor and product-focused delivery to enterprise data problems.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at University of California, Davis
College of the Redwoods
English, Vietnamese