Felipe Ferreira is a Python developer with 11 years of experience building data-driven systems and cloud-native services across public sector and industry clients. He has led data engineering teams and delivered large-scale Big Data platforms using PySpark, Spark Streaming, Solr, Hive/Impala and NiFi to provide near real-time analytics for institutional decision making. Comfortable across Google Cloud, AWS and OpenShift, he combines backend Python/Django microservices with data pipelines and CI/CD practices to turn messy integrations into reliable analytical products. His background spans domains from biochemical data modeling and media streaming to logistics and financial messaging, reflecting strong systems thinking and performance-driven optimizations. Based in North Brabant, he brings a pragmatic leader’s mindset—mentoring teams on architecture and infrastructure while still coding core data transformations himself. Outside work he’s an avid cyclist, archer and trail enthusiast, traits that mirror his disciplined, steady approach to complex engineering challenges.
10 years of coding experience
17 years of employment as a software developer
Bacharelado incompleto, Sistemas de Informação, Bacharelado incompleto, Sistemas de Informação at Universidade Federal do Estado do Rio de Janeiro
Técnico, Análise de Sistemas, Técnico, Análise de Sistemas at Colégio Cenecista Capitão Lemos Cunha
Módulo Python para classificação e análise de sentenças e documentos judiciais.
Contributions:44 commits, 13 PRs, 45 pushes in 1 year 2 months
pythondocumentosinspection
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