James C.
About James C.
James Campbell CTO
James Campbell holds the position of Chief Technology Officer (CTO) at Great Expectations. As a co-founder of the company, his contributions have been instrumental in guiding the strategic direction and technological advancements of the platform. His leadership focuses on developing robust data validation solutions, enhancing product capabilities, and driving innovation within the industry.
Co-founder of Great Expectations
James Campbell co-founded Great Expectations alongside Abe Gong. Together, they spearheaded the initiative to create an open-source data validation platform. The company aims to provide reliable and scalable data quality solutions for enterprises, ensuring that data pipelines are trustworthy. Under his co-leadership, Great Expectations has grown into a significant tool in the data science community.
James Campbell Data Scientist and Federal Researcher
Prior to his role at Great Expectations, James Campbell worked as a data scientist and researcher for the US federal government. His experience in the public sector involved working on complex data analytics projects, which equipped him with a deep understanding of data management, validation, and analytics. This background has significantly influenced his approach to developing data-centric solutions at Great Expectations.
Great Expectations Open Source Project
James Campbell played a crucial role in starting Great Expectations as an open-source project. The project's inception was driven by the need for a community-driven, flexible data validation framework. The open-source nature of Great Expectations allows for continuous contributions from a diverse group of developers and data scientists, fostering innovation and inclusivity in the data science ecosystem.
Launch at Strata Data & AI Conference 2018
James Campbell and his team launched the Great Expectations platform at the Strata Data & AI Conference in 2018. This event marked a significant milestone in the company's history, introducing their innovative data validation tool to a broad audience of industry professionals and data enthusiasts. The conference provided a platform to showcase the benefits and functionalities of Great Expectations, propelling its adoption in the data science community.