Paul Magid is a Principal Consultant and data architect who specializes in designing and operationalizing large-scale data platforms, AI/ML products, and cloud migrations for complex enterprise environments. He has led teams to replace costly legacy systems with efficient pipelines—examples include rebuilding billing telemetry with OpenTelemetry and ClickHouse and cutting infrastructure spend via BigQuery reservations. His career spans leadership roles at StackPath, Edgecast/Verizon Digital Media, Acorns and Toyota, where he stood up multiple Hadoop and ClickHouse clusters, introduced Looker as a BI standard, and accelerated ETL with Spark to shrink multi-day processes to hours. Known for combining hands-on architecture with product management, he also has experience landing first-of-kind platforms (e.g., Oracle BDA and MySQL NDB clusters) and driving cross-functional adoption at scale. Based in Rancho Palos Verdes, he pairs technical depth with business acumen from a UC Berkeley business degree and a JD, giving him a rare blend of engineering, financial and governance perspective.
2 years of coding experience
22 years of employment as a software developer
Bachelor of Science (BS), Business Administration (Finance, Accounting, Real Estate), Bachelor of Science (BS), Business Administration (Finance, Accounting, Real Estate) at University of California, Berkeley, Haas School of Business
Doctor of Law (JD), Law, Doctor of Law (JD), Law at University of San Francisco School of Law
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