Summary
Suo Tan is a Senior Data Engineer with 10 years of experience designing and operating scalable big-data architectures and production ML pipelines across Azure, GCP, and AWS. Microsoft-certified in Azure Data Engineering, he excels at building ETL/ELT workflows, data modeling, CI/CD automation, and cost-conscious cloud solutions using Python, Spark, Airflow, Databricks, Kafka and IaC tools like Pulumi. He has driven data platform work at companies from startups to enterprise (Unity, Playtika, IVADO Labs, C60), partnering closely with data scientists to productize models and optimize feature engineering for production. A former full‑stack co-founder and research engineer with a PhD background, he brings both pragmatic engineering and academic rigor, often tightening performance and reducing cloud costs while improving observability. Based in Montreal, he pairs strong communication and mentorship with a knack for translating complex analytics requirements into maintainable, automated pipelines.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Concordia University
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Huazhong University of Science and Technology
Master of Applied Science (M.A.Sc.), Master of Applied Science (M.A.Sc.) at University of Guelph