Jessica Owensby is a Principal Big Data Engineer at AT&T, where she leverages her extensive experience in software development to drive innovative solutions in data engineering and analytics. With a strong foundation in programming languages such as Java and Python, Jessica excels in constructing robust...
Jessica Owensby is a Principal Big Data Engineer at AT&T, where she leverages her extensive experience in software development to drive innovative solutions in data engineering and analytics. With a strong foundation in programming languages such as Java and Python, Jessica excels in constructing robust data sets that empower Data Scientists to train their machine learning models effectively. Her expertise in feature engineering and data exploration allows her to extract valuable insights from complex data sets, ensuring that the models are not only accurate but also scalable.
Currently, Jessica is spearheading key projects that focus on enhancing data accessibility and performance across AT&T's vast network. By utilizing technologies like Hive and Flume, she is instrumental in optimizing data pipelines, facilitating real-time data processing, and improving overall data quality. Her hands-on approach to software development, combined with her keen analytical skills, enables her to collaborate seamlessly with cross-functional teams to address critical business requirements.
In addition to her technical prowess, Jessica is passionate about sharing knowledge and fostering a culture of continuous learning within her team. She actively engages in discussions around advanced analytics and machine learning, helping to bridge the gap between data engineering and data science. Her commitment to innovation and excellence positions her as a key player in AT&T’s mission to harness the power of big data, ultimately driving better customer experiences and operational efficiencies.
