Summary
Sujin Lee is a data engineer with eight years of experience building ETL pipelines and managing data warehouses, currently supporting national health analytics at South Korea's Health Insurance Review and Assessment Service. She combines practical engineering with research experience—applying machine learning to medical time-series data at NIMS and analyzing cybersecurity and blockchain tracking systems at Whitescan. Comfortable across the data lifecycle, Sujin has delivered production-ready RESTful APIs, location-based recommendation prototypes, and scalable DW solutions that enable better decision-making in public health. Her background reflects a pragmatic belief that technology can improve lives, with a track record of turning raw data into actionable insight for both research and operational contexts.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Pukyong National University