Summary
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.
8 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng, Computer and Communications Systems, Master of Engineering - MEng, Computer and Communications Systems at University of Limerick
Chinese, English