Summary
Sanghun Park is a data engineer based in Berlin with eight years of engineering experience who treats data engineering as a craft—building clear, maintainable pipelines using Airflow, BigQuery, and Python. He brings a backend foundation in Kotlin, Spring Boot, and AWS that helps him design data systems that scale and “age well.” Currently focused on automation, LLM-powered tooling for orchestration, and blending product thinking with infrastructure, he aims to make teams faster and smarter with data. His background spans analytics, web and iOS development, and hands-on tooling (Django dashboards, JupyterHub administration), reflecting a pragmatic cross-disciplinary approach. A bilingual developer who moved from Korea to Germany and trained at 42 Berlin, he combines field-tested operational rigor—shaped in part by military leadership—with a curiosity for intelligent workflow automation.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, International Logistics (국제물류학), 3.56, Bachelor's degree, International Logistics (국제물류학), 3.56 at 중앙대학교
42 Berlin
Korean, English