Summary
Jiachen Wei is a Senior Consultant Data Engineer with 7 years of experience building cloud-native analytics, data platforms, and ML-enabled solutions across healthcare, aviation, mining, and smart buildings. He combines deep Azure expertise—Synapse, Databricks, ADF, Azure SQL, CosmosDB and Azure OpenAI—with hands-on work in data modeling, ETL, ML Ops and CI/CD to deliver production-ready pipelines and dashboards. At KPMG and prior firms he has led SQL-based migrations for health authorities and implemented GenAI search/chat systems using LangChain, Bot Framework and Azure OpenAI. His background in geomatics and urban data research informs a pragmatic approach to spatial and IoT data, having deployed campus-wide sensor pipelines and contributed to government-scale geospatial projects. Known for bridging stakeholder needs and technical teams, he routinely performs architecture assessments, code reviews and test-driven refactors to improve reliability and observability. Based in Greater Vancouver, he blends academic rigour from UBC and Waterloo with practical delivery across consultancy engagements.
7 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Geomatics Engineering (2+2), Bachelor’s Degree Geomatics Engineering (2+2) at Wuhan University
Master of Data Science Data Science, Master of Data Science Data Science at The University of British Columbia
Bachelor of Arts - BA Translation and Interpreting (Double Major), Bachelor of Arts - BA Translation and Interpreting (Double Major) at Huazhong University of Science and Technology
Bachelor's degree Geomatics (2+2), Bachelor's degree Geomatics (2+2) at University of Waterloo