Summary
Atta Zadeh is a Data Engineer based in New York with 8 years of experience building production-grade data systems and ML-driven analytics. Currently at Citadel, he focuses on scaling Big Data pipelines and delivering reliable data infrastructure for high-stakes trading workflows. His background includes end-to-end ETL design on AWS Redshift, Spark-based analysis of lending datasets, and API/data-model work with Django and Node, giving him fluency across data engineering and backend development. Early roles at Qualcomm and University of Toronto exposed him to machine learning, CNNs, and networking research, which inform a practical, research-minded approach to problem solving. Colleagues know him for translating quantitative requirements into automated pipelines and actionable dashboards, often leveraging Python, Pandas, and Spark to bridge analysis and production. He blends electrical engineering training with hands-on software craftsmanship, enabling rapid iteration from prototype analyses to robust, monitored data products.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Electrical Engineering, Bachelor of Applied Science (B.A.Sc.), Electrical Engineering at University of Toronto