Summary
Louis Huang is a Data Engineer with nine years of experience who blends full-stack web development roots with healthcare-focused data engineering to build scalable, secure ETL pipelines and analytic products. Currently at Brown University Health, he modernizes clinical and financial data infrastructure, automates validation and metadata management, and optimizes performance across cloud platforms. His background includes operational analytics and PowerBI/dashboarding at Lifespan and hands-on experience creating EPIC Clarity reports, giving him a practical appreciation for clinical workflows and payer quality programs. Trained as a full-stack developer through Rutgers Coding Bootcamp, he remains comfortable across JavaScript, Node.js, Sequelize, and mapping APIs while also applying that developer mindset to data engineering challenges. Colleagues describe him as a pragmatic problem-solver who prioritizes intuitive user experiences and data quality—an often underappreciated bridge between developer ergonomics and rigorous healthcare data needs. Based in the New York City area, he maintains a public portfolio and GitHub demonstrating project-driven learning and continuous skill growth.
9 years of coding experience
3 years of employment as a software developer
Cerfiticate, Full Stack Web Development, Cerfiticate, Full Stack Web Development at Rutgers Coding Bootcamp
Bachelor’s Degree, Dietetics/Dietitian, Bachelor’s Degree, Dietetics/Dietitian at Rutgers University