
Beto Dealmeida
Staff Engineer at Preset, Apache Superset PMC member, open-source musician
Key Biscayne, Florida, United States
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Beto has been writing open-source software for more than 2 decades, with open-source serving as the unifying theme across their diverse career. This includes their work as a climate scientist with a PhD in oceanography running global simulations for the IPCC, as an instructor and speaker at Facebook/Meta passionate about data tools and best practices, as a software engineer working daily on Apache Superset, and as a musician using open hardware and open-source plugins to compose and produce their songs.
The tools and libraries that Beto has created or worked on are used daily by thousands of companies and countless users, focusing on making data access seamless and switching the spotlight to the user experience instead. Their first big project was Pydap, a server for climate data developed during the Google Summer of Code in 2005. Pydap was used by the IPCC to distribute their simulations when they won their 2007 Nobel Prize, and also by the Danish Navy when removing chemical weapons from Syria.
Since 2017, Beto has been working daily on Apache Superset, a modern and modular business intelligence web application that is the number 1 Apache project in terms of GitHub stars. This work has led to the creation of an ecosystem of products: DataJunction, a semantic layer that has been adopted by data teams at Netflix; Shillelagh, a Python library that makes any kind of data easily queryable via SQL; and Cantrip, a magical semantic layer that lives in the database itself, requiring no additional resources. All of these projects focus on empowering users to answer their questions in an effortless way.
Additionally, Beto is also a prolific musician, having written over 500 songs in the past decade. They are an avid participant in the February Writing Album Month challenge, which has the goal of composing 14 new songs in 28 days, and is also part of both the small development team and moderation team. Their songs are written using an open-source digital audio workstation (DAW) with open-source plugins, and all the hardware they use is also based on open-source code.
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