Spatial Risk Systems
Matthew Kamerman is a seasoned Database Architect and Data Engineer with extensive experience in building and managing data systems across various industries. Currently serving as a Database Architect and Data Engineer at Spatial Risk Systems since June 2025, Matthew has a history of significant contributions to enterprise data architecture, including the development of Retail Sales Data Mart at Barnes & Noble, and overseeing the establishment of Bark's Financial Data Mart. Previous roles encompassed consulting positions that involved complex data modeling and architecture projects for major firms such as Wells Fargo and Morgan Stanley. With academic credentials from Brown University and Columbia University, Matthew combines a strong foundation in biology with advanced technical expertise in computer science and data analytics.
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Spatial Risk Systems
SRS is an innovative data and analytics company that has engineered the first global 'spatial knowledge graph' to quantify corporate and government location-based risks. They've unified hundreds of open data and proprietary sets into a single fact table. An optimized data state for Machine Learning and AI.