Summary
Tanya Whyte is a senior software and data engineer with 12 years of professional experience and a proven track record building data-intensive backend systems that process hundreds of millions of events. She has led teams and architected production data platforms at Prodigy Education—responsible for pipelines handling 60M+ student answers per day, real-time cheating detection, ML model CI/CD, and a Databricks+Kafka-driven email platform. Comfortable across infrastructure, data, and application layers, she designs scalable ETL/streaming systems, reverse ETL services, and production-grade observability using tools like Spark, Kafka, Airflow, dbt, Terraform, Kubernetes and PostgreSQL. Her background in political science and years of academic research inform a data-first, empirically driven approach to product problems and feature engineering. Now at ClickHouse, she continues to focus on high-throughput backend and analytical workloads, blending hands-on engineering with mentorship and developer-experience improvements. An unusual strength: she pairs deep academic rigor in NLP and measurement from her PhD work with practical MLOps and platform-building experience that accelerates ML-powered products into production.
12 years of coding experience
13 years of employment as a software developer
Master of Arts - MA Political Science, Master of Arts - MA Political Science at University of Alberta
Doctor of Philosophy - PhD Political Science, Doctor of Philosophy - PhD Political Science at University of Toronto