Great Expectations
Nathan Farmer is a skilled software engineer and data scientist with extensive experience in logistics, supply chain management, and data analysis. Currently employed at Great Expectations since August 2021, Nathan has contributed to integrating advanced data quality frameworks and developing automation solutions using Apache Airflow. Prior roles include serving as a data scientist at Cisco, where Nathan was responsible for creating production Tableau scorecards and implementing machine learning models, and as a demand planner at Walgreens, overseeing inventory management for over $150 million annually. Nathan holds a Master of Science in Data Science and an MBA in Operations Management from DePaul University, as well as a Bachelor of Science in Industrial Engineering from West Virginia University.
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Great Expectations
Great Expectations helps teams save time and promote analytic integrity by offering a unique approach to automated testing: pipeline tests.