Brendan Freehart is a data engineer with 11 years of experience building production data pipelines, machine learning models, and data lakes for enterprise systems. Based in Washington, DC, he currently designs data lakes and SparkML solutions at Silectis and has a track record integrating CRM and ERP systems like Salesforce, NetSuite, and MS Dynamics into robust ETL workflows. He co-founded Safe Lane, applying deep learning and public data to transportation safety and winning the 2019 DCx competition, and previously built streaming Kafka pipelines and monitoring tools on Azure. Brendan blends hands-on ML (TensorFlow, Keras) and computer vision experience with strong analytics roots from product and consulting roles, and he brings a physicist’s rigor from a BS in Physics to solving messy, production-scale data problems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at The George Washington University
Contributions:16 pushes, 1 branch in 2 years 7 months
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