Summary
Steven Deutscher-kobayashi is a Data Platform Lead with eight years of experience building high-throughput, production data systems across fraud prevention, ad tech, and financial domains. A University of Toronto computer science graduate, he has designed and operationalized large-scale Google Cloud data engineering practices, including DBT adoption, CDC pipelines with Datastream/Dataflow, and automated Terraform deployments. He previously built real-time fraud decisioning backends processing tens of millions of transactions per day and authored Spark and Airflow libraries to simplify ingestion and stateful streaming at scale. Comfortable partnering with clients and internal teams, he combines hands-on engineering with architecture and runbook-driven operational rigor. Colleagues rely on him for migrating legacy ETL into modern pipelines and capturing passive/active lineage for enterprise data observability.
8 years of coding experience
14 years of employment as a software developer
Honors Bachelor of Science Computer Science, Honors Bachelor of Science Computer Science at University of Toronto