Contributors

Jeff Carpenter

Technical Evangelist

About Jeff

Jeff Carpenter is a technical evangelist at DataStax, where he leverages his background in system architecture, microservices and Apache Cassandra to help empower developers and operations engineers build distributed systems that are scalable, reliable, and secure. Jeff has worked on projects ranging from a complex battle planning system in an austere network environment, to a cloud-based hotel reservation system and is the author of Cassandra: The Definitive Guide, 2nd Edition

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David Gilardi

Technical Evangelist

About David

David Gilardi is a Technical Evangelist at DataStax who is a total nerd for distributed databases with a particular interest in distributed graph. He has over 20 years of relevant experience in programming, database administration, cloud, server/network monitoring, and analytics. Before his time at Datastax he was Senior Development Manager at Hobsons, an education services company, responsible for a flagship SaaS CRM product deployed on hybrid cloud using a combination of relational and NoSQL database technologies.

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Patrick McFadin

About Patrick

Patrick McFadin is the VP of Developer Relations at DataStax, where he leads a team devoted to making users of DataStax products successful. He has also worked as Chief Evangelist for Apache Cassandra and consultant for DataStax, where he helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons and an Oracle DBA/Developer for over 15 years.

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Luke Tillman

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Russell Spitzer

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stephen mallette

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kathryn erickson

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Sebastian Estevez

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Denise Gosnell

Senior Graph Consultant

About Denise

In August 2017, Dr. Denise Gosnell transitioned into a Senior Graph Consultant position with DataStax where she aspires to build upon her experiences as a data scientist and graph architect to further their established line of graph solutions. Prior to her role with DataStax, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry. 

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Wei Deng

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