Qiman Wang
Software Engineer at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolQiman Wang is a software engineer based in New York with 10 years of experience building data platforms, analytics, and developer tooling across companies from startups to Amazon. He has led efforts in ML data platforms, GDPR/CCPA automation, and internal data quality frameworks—bringing pragmatic open-source solutions like ClickHouse and PySpark into production. At Amazon he’s currently applying GenAI to product problems, and he mentors aspiring designers and engineers through ADPList. His background spans applied math and computer science (Queens College, Georgia Tech) and includes hands-on product engineering and customer-facing technical roles that sharpen his pragmatic problem-solving. Colleagues would note he balances technical depth with a teachable mindset—“Live to Learn, Learn to Live”—and an uncommon history of shipping both hardware prototypes and large-scale data systems.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyBootcamp by Cognitzant, Data Engineering, Bootcamp by Cognitzant, Data Engineering at Platform by Per ScholasBachelor of Arts (B.A.), Applied Mathematics, Bachelor of Arts (B.A.), Applied Mathematics at Queens College
English, Chinese, wenzhounese
Github Skills (7)
metadata9
data-catalog8
python6
data-science5
api5
google-trends4
sdk2
Programming languages (3)
Github contributions (5)
QimanWang/QimanWang.github.io
Mar 2019 - Dec 2020
Contributions:15 commits, 97 pushes, 1 branch in 1 year 9 months
QimanWang/interview-prep
Apr 2018 - Mar 2020
Contributions:20 pushes, 1 branch in 1 year 10 months
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