Summary
Long Duc is a data engineer with 12 years of experience who blends financial engineering and AI-savvy data practice to build scalable ingestion pipelines and robust data architectures across fintech and e-commerce. He has driven petabyte-scale data mart improvements at Shopee, optimized big-data query efficiency for dozens of analysts, and applied quantitative coursework from WorldQuant University to production research workflows at WorldQuant Brain. Now at Secretlab in Singapore, he continues to focus on Airflow-driven orchestration and operationalizing ML-ready datasets, drawing on a cross-continental education that includes NTU, TUM, and a data-science graduate certificate from UWA. Beyond core engineering, he has hands-on experience reducing cloud costs and instrumenting Spark jobs for actionable cost attribution—an underappreciated strength that complements his analytics-first approach.
11 years of coding experience
4 years of employment as a software developer
Master's degree - Graduate Certificate Data Science, Master's degree - Graduate Certificate Data Science at The University of Western Australia
Master's degree Financial Engineering, Master's degree Financial Engineering at WorldQuant University
Bachelor's degree Informatics, Bachelor's degree Informatics at Technical University of Munich
High School Mathematics, High School Mathematics at High School for Gifted Students, Hanoi University of Science, Vietnam National University
Computer Science, Computer Science at Nanyang Technological University Singapore
English, Vietnamese