Rafael Leiniö
Senior Data Engineer
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRafael Leiniö is a Senior Data Engineer based in São Paulo with 8 years building data platforms and MLOps at both early-stage startups and large enterprises. He designs and ships end-to-end data infrastructure—feature stores, ELT pipelines, streaming upserts, and orchestration—using Spark, Kafka, Airflow, Kubernetes and cloud-native tooling. At Wander he founded the data chapter and deployed 80+ dbt models in his first month, while at CircleUp he led massive web-scale data collection and introduced rigorous Python engineering practices like TDD and type checking. His work spans product-facing analytics and low-latency online feature serving, informed by a research-oriented background in neural networks and intelligent systems. Known for coaching teams and codifying best practices, he combines hands-on implementation with building developer-friendly platforms and open-source tooling for declarative feature engineering. Colleagues rely on him to translate ambiguous business problems into scalable, production-ready data solutions.
8 years of coding experience
4 years of employment as a software developer
Bachelor in Science and Technology, Multi/Interdisciplinary Studies, Bachelor in Science and Technology, Multi/Interdisciplinary Studies at Universidade Federal de São PauloMaster's degree, Neural Networks, Master's degree, Neural Networks at INPE - National Institute for Space ResearchTechnician, Informatics, Technician, Informatics at ETEP FaculdadesMaster of Science - MS, Computer Science (Intelligent Systems), Master of Science - MS, Computer Science (Intelligent Systems) at Unifesp - Universidade Federal de São Paulo
English, Portuguese
Stackoverflow
121reputation
7kreached
0answers
3questions
Github Skills (88)
amazon-athena10
python10
pyspark10
data-science10
package10
aws-glue10
feature-store10
etl-framework10
data-engineering9
scheduler9
modin9
dynamodb9
lambda9
automation9
etl9
Programming languages (6)
Github contributions (5)
wandercom/cubejs
Mar 2025 - May 2026
unofficial async cubejs python client
Contributions:1 release, 3 reviews, 1 PR in 1 year 2 months
asynccubejspython
rafaelleinio/thoth
May 2020 - Jan 2023
Python tool for profiling-based anomaly monitoring on ETL data pipelines leveraging ML and Apache Spark.
Contributions:31 commits, 4 PRs, 50 pushes in 2 years 8 months
apache-sparkdata-pipelinedata-pipelinesetlmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.