Summary
Hoyeon Lee is a Senior Software Development Engineer in Seattle with over a decade of experience building large-scale distributed systems, data pipelines, and cost/backup automation for Amazon. He has led end-to-end projects across billing and notifications pipelines, automated RDS/Aurora backup scheduling, and built AWS cost-efficiency dashboards, drawing on deep expertise in AWS, log analysis, and big data platforms. Earlier work includes architecting enterprise Java frameworks, interactive Spark-based ML tooling, and anomaly detection workflows that supported language-agnostic model runtimes. Known for pragmatic problem solving, he combines hands-on coding with system-level design to reduce operational overhead and optimize cloud spend. An often-overlooked strength is his track record of bridging data science and engineering needs—deploying RStudio and RESTful Spark services to make advanced analytics accessible to non-developers.
10 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Ajou University
English, Korean