Beto Dealmeida
Staff Engineer at Preset
Key Biscayne, Florida, United States
Summary
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Top expert inData Engineering and Analytics Technologies
Beto Dealmeida is a Staff Engineer with 14 years of experience building backend-first data and visualization platforms, currently shaping Preset’s engineering efforts from Key Biscayne, Florida. He combines a PhD-level scientific background in physical oceanography with production software expertise gained at companies like Facebook and Lyft, making him adept at turning complex data problems into reliable, user-facing systems. Beto is a long-time open-source contributor—helping improve Apache Superset, a widely used data visualization project, and enhancing SQL parsing and Druid connectors—demonstrating deep knowledge of data pipelines, query compatibility, and visualization UX. Known for a pragmatic Invent-Fix-Improve mindset, he equally contributes to frontend chart behavior and backend type casting or security fixes, revealing a true full-stack data engineering profile. An early programmer who’s written open-source since learning to code, he brings scientific rigor, practical engineering, and a knack for handling tricky edge cases to every codebase.
14 years of coding experience
14 years of employment as a software developer
PhD, Physical Oceanography, PhD, Physical Oceanography at Universidade de São Paulo / USPBS, Oceanology, BS, Oceanology at Universidade Federal do Rio Grande / FURG
Portuguese, English, Spanish
Stackoverflow
574reputation
67kreached
16answers
0questions
Github Skills (37)
data-visualizations10
javascript10
bigquery10
back-end-development10
python10
formatting10
authentication10
data-visualisation10
user-authentication10
ui-design10
text-formatting10
flask-ask10
security10
uid10
sqlalchemy10
Programming languages (16)
Github contributions (5)
druid-io/pydruid
Jan 2018 - Nov 2022
A Python connector for Druid
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 18 commits, 28 PRs in 4 years 10 months
Contributions summary:Beto primarily focused on enhancing the pydruid Python connector for Druid. Their contributions involved merging code, fixing bugs, and adding new functionalities. They implemented SQL compatibility, addressed issues related to empty results, improved error messages, and incorporated context passing to Druid queries. The user also made adjustments to the codebase for compatibility with newer versions of SQLAlchemy.
connectorpythondruid
apache/superset
Dec 2017 - Jan 2023
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 1678 reviews, 788 commits in 5 years 2 months
Contributions summary:Beto's commits focused on back-end development tasks within the Apache Superset project. They implemented improved typed casting for BigQuery, allowing for better data type handling. The user also worked on results endpoint functionality, allowing fetching of all rows and adding unit tests. They also made improvements to support the new versioned export for the dashboard.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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