Jaime Kaufman

Jaime Kaufman is a highly skilled data engineering professional with extensive experience in big data technologies and frameworks, currently serving as a Staff Data Engineer at Lucid Motors. With a strong background in Apache Spark, Iceberg, Kafka, and Airflow, Jaime has led initiatives to optimize data migrations, develop production-ready streaming applications, and improve data processing efficiencies, achieving significant cost savings and performance enhancements. Prior to Lucid Motors, Jaime held senior leadership roles at Carbon Arc and Stitch Fix, where contributions included implementing scalable data solutions, training teams on Apache Spark best practices, and optimizing complex data pipelines. Jaime's career also encompasses experience at Aetna, Fusion Alliance, and Illumination Works, showcasing a strong track record in data architecture, process automation, and cross-functional collaboration. Jaime holds a Master of Science in Computer and Information Sciences from the University of North Florida and dual Bachelor's degrees in Music Performance from Ohio University and Wright State University.