Runhan Yu
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRunhan Yu is an Applied Scientist II at Amazon with 11 years of experience building scalable data and ML pipelines using Python, R, SQL and big-data technologies like AWS, Spark, Kafka, Hadoop and Hive. He progressed from research-intensive roles in biochemistry to data engineering and applied science, uniquely blending domain expertise in large-scale biological datasets with production-grade cloud systems. At Insight Data Science he built efficient ETL and real-time monitoring pipelines and optimized connectors to Redshift, experience he carried into multi-team projects at Amazon. He has a Ph.D. in Biochemistry from Brandeis and a dual B.Sc. in Finance and Materials Chemistry, a background that helps him translate complex scientific problems into robust data solutions. Based in Seattle, Runhan is skilled at turning noisy, heterogeneous data into queryable assets and has hands-on experience extracting high-value signals from very large biological and IoT datasets.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.) Finance General, Bachelor of Science (B.Sc.) Finance General at Nankai UniversityDoctor of Philosophy (Ph.D.) Chemistry Biochemistry, Doctor of Philosophy (Ph.D.) Chemistry Biochemistry at Brandeis University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
bundle9
emacs-lisp9
spacemacs8
emacs8
emacs-lsp8
melpa8
hexo7
pipeline6
scalable5
analytics4
sql4
input-method4
elisp3
data-pipeline3
org-mode3
Programming languages (6)
Github contributions (5)
ziyunch/RxMiner
Jan 2019 - Sep 2019
Scalable Data Pipeline for Prescription Drug Analytics.
Contributions:298 commits, 6 PRs, 251 pushes in 7 months
scalableanalyticspipelinesqldata-pipeline
ziyunch/ziyunch.github.io
Oct 2016 - Jan 2024
Contributions:318 pushes, 1 branch in 7 years 3 months
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