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
Github Skills (97)
amazon-athena10
python10
pyspark10
data-transformation10
package10
aws-glue10
feature-store10
etl-framework10
singer10
data-engineering9
scheduler9
modin9
dynamodb9
lambda9
csv9
Programming languages (6)
Github contributions (5)
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
anomalypythonprofilingdata-qualityleveraging
rafaelleinio/rafaelleinio
Jun 2022 - Feb 2025
Contributions:6 pushes, 1 branch in 2 years 8 months
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