Baron Kwan
Regional Data Engineer
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolBaron Kwan is a Regional Data Engineer with a decade of experience turning messy operational and corpus data into reliable pipelines and actionable insights across finance, luxury retail, and tech. A UC San Diego Management Science graduate with an Accounting minor, he has led large migrations from legacy SAS to Python/Spark on AWS and improved ETL systems that process tens of millions of records. His background spans hands-on NLP corpus curation for Cantonese machine translation, enterprise data engineering at DBS and Richemont, and practical product-focused IT work in export sales—bringing both technical rigor and business context to solutions. Multilingual in English, Mandarin and Cantonese, Baron often automates repetitive workflows to free teams for higher-value analysis, reflecting his mix of developer curiosity and data-driven decision making. He’s equally comfortable profiling model performance with statistical metrics and operationalizing pipelines for production use, making him a pragmatic connector between data science and engineering.
10 years of coding experience
7 years of employment as a software developer
Business Administration and Management General, Business Administration and Management General at De Anza CollegeUniversity of California, San Diego
English, Chinese, Chinese
Github Skills (17)
jekyll10
jekyll-theme10
git9
github9
patch8
subversion7
64-bit6
bit5
sd-card4
armhf4
raspberry4
armv83
raspberry-pi3
bare-metal3
linux2
Programming languages (5)
Github contributions (5)
baronkwan/sousChef
Jun 2016 - Jun 2016
Contributions:19 commits, 14 PRs, 14 pushes in 2 days
baronkwan/baronkwan.github.io
Dec 2015 - Feb 2016
Contributions:10 PRs, 38 pushes, 11 branches in 1 month
github-pages-sitedbcphase
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