Christina Taylor is a seasoned data engineering professional with extensive experience in leading data systems and infrastructure projects across multiple organizations. Currently serving as Data Engineering Lead for Machine Learning at Abridge, Christina specializes in designing and implementing data pipelines. Previously, at Catalyst Software, significant accomplishments included modernizing data systems, reducing infrastructure costs, and advancing customer value through innovative data solutions. Christina has held various leadership roles at companies like Carvana and Bread, focusing on data platforms and engineering best practices, and played a crucial role in the development of Disney+. With a solid educational background including multiple master's degrees in Information Systems and Data Science, as well as expertise in environments like Azure and AWS, Christina demonstrates a strong commitment to driving efficiency and data accessibility while promoting diversity within the data and AI community.
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