Tom Zeng is a seasoned Program Manager and cloud data specialist with 17 years of experience architecting and operationalizing petabyte-scale analytics and AI workloads across Azure, AWS, and GCP. He combines deep hands-on engineering (Spark, Hadoop, Presto, BigQuery, Kafka) and multiple languages (Python, Scala, Java, Ruby) with product-focused leadership, having led teams and customer onboarding at Microsoft, AWS EMR, and Unity. Tom excels at translating large-scale technical challenges into repeatable best practices for enterprise customers, handling escalations and performance at 10k-core and PB scales. He has a strong background in machine learning pipelines and GIS-enabled solutions, and is comfortable across cloud-native managed services and open-source big data stacks. Based in Redmond, he pairs a longtime interest in cutting-edge tech with a practical record of launching thousands of clusters and driving real-world data migrations and optimizations.
17 years of coding experience
22 years of employment as a software developer
Master of Applied Sciences (M.A.Sc), Master of Applied Sciences (M.A.Sc) at University of Waterloo
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