Pedro Oliveira
Data & AI Engineer
Rio de Janeiro, Brazil
Summary
🤩
Rockstar🎓
Top SchoolPedro Oliveira is a Data & AI Engineer based in Rio de Janeiro with seven years of experience building production data platforms, analytics APIs, and machine learning infrastructure for both public sector and startups. He has led data teams and founding-data roles, delivering data warehouses, semantic layers with dbt, reporting APIs consumed at scale, and operational back-office tooling that reduced costs and unlocked new capabilities. Pedro contributes to open-source Elixir data tooling—improving the explorer library with Arrow IPC support and Series/DataFrame features—reflecting a backend-first, performance-minded approach to data engineering. His background spans research-driven roles in economics and public policy to fintech and healthcare, giving him a strong mix of domain knowledge and practical delivery. Known for unblocking engineers and aligning product metrics with business needs, he combines hands-on coding with pragmatic leadership.
7 years of coding experience
4 years of employment as a software developer
Economics, Economics at Universidade Federal FluminenseEnsino Médio, Ensino Médio at Colégio Franco-Brasileiro
Portuguese, English, French, Spanish, German
Stackoverflow
365reputation
13kreached
9answers
19questions
Github Skills (14)
dataframes10
rust10
elixir10
dataframe10
data-science8
amazon-redshift6
httr6
tidyeval6
functional-programming6
dplyr6
ggplot6
filter6
forloop6
r6
Programming languages (12)
Github contributions (5)
elixir-explorer/explorer
Jan 2022 - Dec 2022
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 13 commits, 12 PRs in 10 months
Contributions summary:Pedro primarily focused on enhancing the Elixir-based data exploration library, `explorer`. Their contributions include adding new features like the Iris dataset and support for Apache Arrow IPC file reading/writing and expanding the functionality of the `Series` module. The user improved documentation, added examples, and implemented functions for common Series operations like divide, power, and in-series checks. They also introduced features such as data frame table printing.
dataframesdata-explorationdata-sciencerusttwo-dimensional
jojolabe/alphabetsigma
Mar 2020 - Mar 2022
Contributions:9 PRs, 67 pushes, 5 branches in 2 years
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