Summary
Daebeom Lee is a data engineer with 10+ years of experience building large-scale real-time analytics and spam/abuse detection systems, currently operating Kubernetes-based Flink pipelines and monitoring stacks at LINE Plus in Seoul. He previously led real-time Spark streaming, Hadoop ETL, and DMP projects at NHN and managed web tracking and log collection platforms at NAVER, giving him deep expertise across the Hadoop ecosystem, NoSQL, and production telemetry. Comfortable across DevOps and data engineering, he designs, deploys and operates resilient pipelines (Prometheus/Grafana) that power user-behavior analytics and targeted advertising platforms. Notably, his career blends low-level systems experience from early network/security work with cutting-edge real-time stream processing, enabling practical solutions for large-scale abuse detection.
10 years of coding experience
11 years of employment as a software developer
공학사, 전기전자공학, 공학사, 전기전자공학 at Yonsei University 연세대학교