Felipe Da Silva
Big Data Engineer
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolFelipe Da Silva is a Big Data Engineer based in Rio de Janeiro with a decade of hands-on experience building cloud-native data platforms and ETL pipelines using Python and PySpark. Trained in Electronic and Computer Engineering at UFRJ, he has applied his cloud expertise across AWS and OpenStack while delivering governance insights with Athena, Lambda and Grafana on enterprise projects like CloudZom. At IPSense and Globo he contributed to data lake implementations, forecasting and anomaly detection efforts, and is actively driving his company's move into AutoML using tools such as AutoGluon and AutoKeras. Comfortable in low-level languages (C, C++, Perl, Lua) as well as serverless architectures, he pairs systems-level thinking from IoT and networking research with practical production engineering. Always exploring new challenges on Kaggle, Felipe brings a research-minded curiosity to applied machine learning and data engineering problems.
10 years of coding experience
Técnica, Eletrônica, Técnica, Eletrônica at Escola Técnica Estadual Ferreira VianaBachelor's degree, Engenharia Eletrônica e de Computação, Bachelor's degree, Engenharia Eletrônica e de Computação at Universidade Federal do Rio de Janeiro
English
Github Skills (2)
rio5
dos4
Programming languages (4)
Github contributions (5)
felipefdsilva/projeto-final
Apr 2020 - May 2022
Contributions:43 pushes, 3 branches in 2 years 1 month
globoi/geoip2-cities-transformation
Oct 2023 - Jan 2024
Contributions:2 reviews, 8 PRs, 69 pushes in 3 months
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