Summary
Luke Hong is a Senior Data Engineer based in Taipei with a decade of hands-on experience building high-throughput data pipelines, production ML systems, and backend services across fintech, adtech, and trading domains. He has repeatedly improved operational efficiency—migrating heavy workloads to Snowflake to cut scheduled task time by 90%, and designing streaming pipelines that handled 600k events/min on minimal CPU resources. Proficient in Python and Go, he combines practical systems engineering (Docker, Kubernetes, Airflow, DBT) with ML deployment on AWS SageMaker to bridge data science and production reliably. Luke is particularly strong at simplifying complex ETL dependencies and translating product/finance needs into actionable reporting and monitoring, having driven service availability from 95% to 99.9% in past roles. Notably, he balances deep optimization skills with product-focused analytics, making data platforms both performant and directly useful to stakeholders.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Science and Information Engineering, Bachelor's degree Computer Science and Information Engineering at National Taichung University of Education
Chinese, Japanese, English