Summary
Jessica Owensby is an Expert Data/AI Engineer with 17 years of hands-on experience building and optimizing large-scale data platforms and pipelines, currently shaping feature engineering and data preparation for AI at AT&T. She combines deep practical expertise in Hadoop ecosystem technologies (Cassandra, Hive, MapReduce) and SQL tuning with a strong foundation in machine learning and analytics from graduate work in Data Science and Computer Science. Jessica has a track record of translating complex data needs into production-ready solutions, from Home Depot’s early Hadoop deployments to enterprise-scale model datasets at AT&T. Colleagues rely on her ability to rapidly absorb new data domains and clearly communicate insights, a strength amplified by formal study in AI, DevOps, and even philosophy that sharpens her analytical thinking.
17 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at College of Computing at Georgia Tech
Cloud DevOps using Microsoft Azure, Cloud DevOps using Microsoft Azure at Udacity
BS Computer Science, BS Computer Science at Carson-Newman University
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Notre Dame
MA Philosophy, MA Philosophy at Georgia State University