Michael Signorotti is the Principal Data Engineer for PG&E’s Vegetation Management department, where he leads the development of a modern data infrastructure to support advanced analytics and reporting. He is currently implementing a Snowflake-based data warehouse to improve data management and operational insight. Previously, Michael led computer vision and machine learning initiatives at PG&E, including building a large-scale image processing platform on AWS. He holds a master’s degree in computer science from Cornell University and a bachelor’s degree in industrial engineering and operations research from UC Berkeley.