Summary
Dylan Amaral is a Big Data Engineer based in Paris with eight years of hands-on experience building cloud-native data pipelines and promoting clean, readable code. He has delivered scalable data solutions across finance and energy sectors at Natixis and ENGIE, and brings strong functional programming sensibilities from a background that includes international study in Taipei and Malaysia. Passionate about reducing technical debt, he prioritizes maintainability and performance in production systems while exploring connected-home projects in his spare time. A former programming instructor for kids, he blends clear communication with practical mentoring, and his Github presence reflects an active, experimental approach to coding rather than just passive storage of projects.
8 years of coding experience
6 years of employment as a software developer
IT, IT at EFREI - Grande école du numérique
Master's degree Computer Science, Master's degree Computer Science at National Taipei University
Licence IT, Licence IT at Asia Pacific University of Technology and Innovation (APU / APIIT)
Bac - Mention Bien Scientifique, Bac - Mention Bien Scientifique at Lycée L'Esperance
French, English, Spanish