Daniel Palma
Head Of Data & Marketing
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolDaniel Palma is a Head of Data & Marketing with a decade of hands-on data engineering experience, currently leading data initiatives at Estuary while founding Areca Data and advising PortfoLion. He has progressed from engineer to manager across international teams in Brazil, Hungary, and the US, shipping production data pipelines and Snowflake-compatible dbt models. An active open-source contributor, his work on the dbt_artifacts package improved metadata modelling, ingestion of seed/snapshot executions, and cross-platform DDL hygiene—demonstrating an eye for observability and reproducible pipelines. Comfortable at the intersection of technical delivery and growth, he blends product-minded marketing with deep engineering craft and a curiosity that produces both "useful and useless" experimental projects.
9 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Eötvös Loránd University
English, German, Hungarian, Portuguese
Stackoverflow
3,947reputation
624kreached
9answers
4questions
numpy
top-5%
pandas
top-1%
python
top-5%
Github Skills (17)
data-warehouse10
pandas10
dbt10
sql10
datamart10
snowflake9
numpy9
python9
delta-lake7
hive-metastore6
pycharm6
apache-kafka6
ksqldb6
hive6
amazon-s36
Programming languages (13)
Github contributions (5)
brooklyn-data/dbt_artifacts
Jul 2022 - Jul 2022
A dbt package for modelling dbt metadata. https://brooklyn-data.github.io/dbt_artifacts
Role in this project:
Data Engineer
Data EngineerContributions:7 reviews, 9 commits, 4 PRs in 13 days
Contributions summary:Daniel primarily contributed to the dbt_artifacts package, a tool for modeling dbt metadata. Their work included generalizing and cleaning up DDL statements for creating schemas and tables. They also implemented the ingestion of seed and snapshot executions, enhancing the package's ability to capture and track dbt pipeline performance. Furthermore, they updated the models for Snowflake compatibility and refactored existing code.
brooklyndbt-packagesdbtartifactsdbt-artifacts
estuary/examples
May 2024 - Mar 2025
Contributions:3 reviews, 34 PRs, 30 pushes in 10 months
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