Summary
김건회 is a data analyst and engineer with nine years of professional experience, specializing in building automated ETL pipelines, real-time observability, and business-facing BI across insurance and e-commerce logistics. He has production experience with Python, SQL, DBT, Dagster, DuckDB and Power BI, and designed hybrid architectures that combine HiveDB historical stores with web-ERP crawling for minute-level operational monitoring at Coupang Fulfillment Services. At Chubb Life Korea he led customer data mart design, pseudonymization for privacy-aware analytics, and churn models that replaced legacy SAS workflows with scheduled DBT/Python pipelines. His background in accounting and international sales gives him an uncommon blend of business acumen and technical rigor, helping him translate stakeholder needs into maintainable data products. He prefers solutions that balance performance and maintainability and seeks roles where full-stack data skills drive measurable business impact. Based in the Seoul–Incheon area, he is actively looking to apply his real-time pipeline and BI expertise to data-driven organizations.
9 years of coding experience
3 years of employment as a software developer
학사, 회계학, 3.8, 학사, 회계학, 3.8 at 한남대학교
Korean, English