Phil Russo

Phil Russo

Aws Data Architect / Senior Software Engineer @ Flexion

About Phil Russo

Phil Russo is an AWS Data Architect and Senior Software Engineer with extensive experience in software development and data systems. He has worked for various organizations, including the U.S. Geological Survey and MapQuest, and holds a U.S. patent for a scalable data ingestion system.

Work at Flexion

Phil Russo has been employed at Flexion Inc. as an AWS Data Architect and Senior Software Engineer since 2019. In this role, he has focused on architecting data solutions utilizing AWS technologies. His work includes designing and developing a data warehousing solution for CMS Beneficiary data, which incorporates features such as full historical auditing and a scalable delta processing platform.

Previous Experience at U.S. Geological Survey

Phil Russo worked at the U.S. Geological Survey (USGS) in Middleton, Wisconsin, initially as a Senior Software Engineer from 2013 to 2014. He later served as Technical Lead and Senior Developer from 2014 to 2015. During his tenure, he developed a passive network URL blocking solution and led the creation of its front-end GUI, eventually becoming the technical lead for product enhancements.

Career at MapQuest

Phil Russo was employed at MapQuest as a Senior Software Engineer from 2010 to 2012. His role involved contributing to software development projects, leveraging his expertise in engineering to enhance the functionality and performance of MapQuest's offerings.

Education and Expertise

Phil Russo studied at the University of Arizona, where he focused on Computer Science, Electrical Engineering, and Mathematics, achieving a degree in Computer Engineering from 1999 to 2002. His educational background has equipped him with a strong foundation in software engineering principles and practices.

Patents and Innovations

Phil Russo holds a U.S. Patent (9,529,855) for a data ingestion system that is characterized as lossless, scalable, and data agnostic. This patent reflects his contributions to advancements in data management technologies.

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