EBÀ propos de Elyes
12 years of professional experience in information technologies, taking different roles as : Software Engineer,Technical Leader, Data Engineer, System Architect (Data).
Confirmed 4 years experience in data analytics and big data programming.
Strong business knowledge of Aeronautics and Telecommunications.
Arabe
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Toulouse (jusqu’à 50 km)
Expériences
- AIRBUSDATA ARCHITECTAÉRONAUTIQUE & AÉROSPATIALEjanvier 2023 - Aujourd'hui (3 ans et 5 mois)Toulouse, FranceMember of System Architect team in C&P Train, part of Skywise solution, the big data platform for Airline industry.Mission-Conduct studies that improves aircraft sensor data pipelines, which handle hundreds of terabytes of data-Elaborate the data pipelines architecture-Evaluate alternative solutions-Evolve system architecture with alignment to the solution requitements-Write architectural documentation and technical features-Conduct workshops to review and implement best practices-Organize community of practices for Aircraft sensor dataTechnologiesUML2, Foundry (Palantir), Python3, Java11, Spark3
- Airbus ToulouseTECHNICAL LEADERAÉRONAUTIQUE & AÉROSPATIALEjanvier 2021 - janvier 2023 (2 ans)Toulouse, FranceMember of Airline Sciences project, which is delivering a digital solution for airline operations.Mission-Implement new features, code review-Realise performance improvement studies-Write technical documentations, and workload estimation-Support PO in writing technical requirements for user stories-Qualification and on-boarding of new members-Organize a community of practice for DeveloppersTechnologiesUML2, Java11, Spring, REST, Swagger, SQL, Hibernate, Git, Jenkins, AWS
- AIRBUSDATA ENGINEERAÉRONAUTIQUE & AÉROSPATIALEjanvier 2019 - janvier 2021 (2 ans)Toulouse, FranceMember of Airline Sciences project, which is delivering a digital solution for airline operations.Mission-Deploy big data analysis platform on AWS, using Spark3.-Data preparations, analysis and data pipelines creation-Creation, optimization, and deployment of predictive ModelsTechnologiesPython3, Spark2, sparkML, H2O, Hadoop, SQL, Git, AWS, bash scripts
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Formations
- Micro Master in Artificial IntelligenceColumbia University2019Micro Master in Artificial Intelligence
- ENGINEER'S DEGREE, COMPUTER SCIENCENational Engineering School of Computer Science2013ENGINEER'S DEGREE, COMPUTER SCIENCE