Luotian Yin
Senior Data Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLuotian Yin is a Senior Data Engineer based in New York with nine years of experience building scalable, cloud-native data platforms and production analytics at Peloton. He progressed from Data Engineer to staff-level responsibilities, focusing on end-to-end data pipelines, ETL automation, and cloud deployments that support large-scale product analytics. Earlier roles at the World Resources Institute and academic projects show deep applied experience in data scraping, matching algorithms (supervised and unsupervised), and AWS-based deployment for public-sector energy datasets. His background in industrial engineering and a 3.9 MS in Business Intelligence & Analysis informs a pragmatic blend of statistical rigor and production engineering. Notably, he has driven large-scale scraping and NLP-driven bibliometrics work and translated A/B testing and manufacturing analytics into multimillion-dollar operational improvements, signaling a talent for converting data insights into measurable business impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Industrial Engineering, A, Bachelor's degree, Industrial Engineering, A at Tongji UniversityMaster's degree, Business Intelligence & Analysis, 3.9, Master's degree, Business Intelligence & Analysis, 3.9 at Stevens Institute of Technology
English, Chinese
Github Skills (32)
monitor10
python10
data-science10
data-engineering10
machine-learning10
workflow-engine10
apache10
scheduler10
etl10
automation10
mlops10
orchestration10
yaml-configuration9
data-pipelines9
apache-airflow9
Programming languages (4)
Github contributions (5)
pelotoncycle/dag-factory
Sep 2022 - Mar 2023
Dynamically generate Apache Airflow DAGs from YAML configuration files
Contributions:14 reviews, 32 commits, 14 PRs in 6 months
pythonairflow-dagsemrapacheyaml-configuration
TerryYin1777/corn-field-k8s
Sep 2023 - Oct 2023
Contributions:4 PRs, 52 pushes, 3 branches in 24 days
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