Daniel Everts

Daniel Everts

Staff Engineer @ Xata

About Daniel Everts

Daniel Everts is a Staff Engineer at Xata.io, with a background in software development and engineering leadership across various companies. He has held positions at Young & Shand, Nudge, and Sendify, and has a Bachelor of Science degree in Computer Science from The University of Auckland.

Current Role at Xata

Daniel Everts has been serving as a Staff Engineer at Xata.io since 2022. In this role, he contributes to the development and engineering efforts of the company, focusing on enhancing data management solutions. His experience in software engineering supports the company's mission to innovate in the data space.

Previous Experience at Young & Shand

Daniel worked as a Developer at Young & Shand from 2012 to 2015 in Auckland, New Zealand. During his three years at the company, he gained valuable experience in software development, contributing to various projects that enhanced his technical skills and understanding of the industry.

Leadership Role at Nudge

At Nudge, Daniel held two significant positions. He started as Lead Developer from 2015 to 2018, where he led development initiatives. He then advanced to the role of Chief Technology Officer (CTO) from 2018 to 2020 in the Greater New York City Area. His leadership in these roles contributed to the strategic direction and technological advancements of the company.

Education and Academic Background

Daniel studied at Rangitoto College from 2007 to 2011, completing his secondary education. He then attended The University of Auckland, where he pursued a Bachelor of Science degree in Computer Science and Information Systems, graduating in 2012. His academic background laid the foundation for his career in software engineering.

Blog Contributions

Daniel authored a blog post titled 'Xata & OpenAI: ChatGPT for your data' on March 2, 2023. This post discusses the integration of OpenAI's technology with Xata's data solutions, showcasing his expertise and insights into the evolving landscape of data management and artificial intelligence.

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