Chu-cheng Fu is a Senior Data Engineer based in Stockholm with 10 years of experience building cloud-native data platforms and production ETL at scale. He has led Databricks and Terraform-driven platform builds, migrated Airflow pipelines to managed services, and refactored legacy Spark workloads into performant DataFrame/Dataset implementations. Comfortable across AWS, Spark, Airflow and multi-cloud ingestion patterns, he pairs deep hands-on engineering with a background in ML and energy forecasting from KU Leuven and KTH. Notably, his ABB master’s work produced AutoML contributions that sped up forecasting workflows and informed uncertainty estimation in ensemble trees. Colleagues know him for turning complex acquisition data flows into reliable, automated pipelines while keeping infrastructure as code and scalability front of mind.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Energy Engineering/Artificial Intelligence Electives, Master of Science - MS, Energy Engineering/Artificial Intelligence Electives at KU Leuven
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at National Cheng Kung University
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at KTH Royal Institute of Technology
Master of Science - MS, Energy for Smart Cities, Master of Science - MS, Energy for Smart Cities at InnoEnergy
Contributions:2 PRs, 180 pushes, 2 branches in 6 months
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