Summary
Dojin Kim is a seasoned software engineer with nine years of experience building data platforms and experiment infrastructure, currently driving data engineering at 당근마켓 in Seoul. He designs end-to-end systems—from streaming user event pipelines on GCP Dataflow and Pub/Sub to Airflow+DBT pipelines and metrics stores—having migrated and backfilled core company metrics into reliable workflows. Previously at 뱅크샐러드 he built CDC and event pipelines with Debezium, Kafka, Spark and S3, and led efforts to improve observability and data quality while shaping dataserving architecture using protobuf. Dojin pairs hands-on backend and frontend work for AB testing platforms with on-call ownership and automated experiment analysis, emphasizing reproducible, production-grade data products. A strong academic performer (4.26/4.5) with research experience at Purdue, he brings both rigor and practical problem-solving to complex data infrastructure challenges.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 4.26/4.5, Bachelor's degree, Computer Science, 4.26/4.5 at 한동대학교
English, Russian, Korean