Summary
Mengjia Kang is a Senior Software Engineer and Graph Engineer with nine years of experience specializing in Big Data to Knowledge (BD2K) workflows, database design, and data pipeline development. Based in Chicago, she combines strong SQL/NoSQL expertise with practical experience building graph databases (Neo4j) and ETL pipelines for clinical, genomics, and EMR data at Northwestern Medicine. Her work spans production-grade systems and research: she designed a next-generation sequencing database and web app, led data management for a five-year clinical study, and visualized complex healthcare networks and RNA-seq results. Now at JPMorgan Chase, she brings research-honed data modeling and Azure/HPCC operational know-how to enterprise-scale graph engineering. Notably, she mentors students and translates clinical research requirements into secure, auditable data platforms, bridging academia and industry.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Northwestern University
Bachelor's degree, Electrical Engineeing, Bachelor's degree, Electrical Engineeing at North China Electric Power University
Chinese, English, Japanese, Korean