Xiaolong Liang

PhD Candidate

Lanzhou, Gansu, China
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Summary

👤
Senior
🎓
Top School
Xiaolong Liang is a PhD candidate and data engineer with over eight years of experience designing and delivering cloud-native, enterprise-scale data warehouses and ETL pipelines across multinational projects. He has led end-to-end data engineering for large Michelin and General Motors programs, blending IBM DataStage, Azure Data Factory, Databricks, Kafka, SSIS and orchestration tools like TWS and AutoSys to integrate ERP systems across multiple countries. Skilled in data modeling (Erwin/PowerDesigner), DWH/Datalake architecture and production support (Jenkins, SVN, ServiceNow), he couples rigorous SDLC practices with pragmatic automation using Python for monitoring and RCA. Based in Lanzhou, China, he brings research depth from bioinformatics PhD work to industrial data engineering, offering a rare mix of academic rigor and hands-on operational experience.
code8 years of coding experience
job8 years of employment as a software developer
bookMaster of Engineering - MEng, Computer and Communications Systems, Master of Engineering - MEng, Computer and Communications Systems at University of Limerick
languagesChinese, English
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Github Skills (5)

computational-biology6
genomics4
illumina4
deep-learning2
high-performance1

Programming languages (1)

Python

Github contributions (5)

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Contributions:17 commits, 14 pushes, 1 branch in 28 days
Contributions:13 commits, 10 pushes, 1 branch in 1 month
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Xiaolong Liang - PhD Candidate