William Toledo is a data engineer with 10 years of software engineering experience who transitioned from full-stack and backend roles to specialize in data pipeline design and optimization. He has three years as a freelance Data Engineer building Airflow pipelines in Python that moved on-prem PostgreSQL data into BigQuery with parallel processing and partitioning to double or triple ingestion speeds. Currently at Verusen and a Master of Engineering candidate at the University of Melbourne, he combines rigorous academic training with pragmatic production experience. Comfortable across the stack, he leverages frontend and backend insights to deliver cleaner, well-documented data architectures and automations. A Python enthusiast who enjoys making elegant apps and promoting computer science, he brings a pragmatic, performance-first mindset to analytics engineering projects.
Contributions:3 reviews, 11 PRs, 17 pushes in 3 months
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