Beto Dealmeida, a software engineer with a PhD in oceanography and background in climate science, pivoted from academia to data infrastructure after identifying inefficiencies in data processing. Throughout his career, Beto has built impactful tools across industries, including a scientific data server for climate research, data solutions at Meta, and semantic layers for company metrics. As a key developer of Apache Superset at Lyft and Preset, and founder of DataJunction (now developed by Netflix), Beto focuses on democratizing and streamlining data access, enabling users to spend less time wrangling data and more time discovering meaningful insights. His work consistently aims to make data more accessible and efficient for everyone, regardless of technical expertise.
