EBAbout 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.
Arabic
Native or bilingual
French
Native or bilingual
English
Fluent
Can work on-site
Toulouse (up to 50km)
Experience
- AIRBUSDATA ARCHITECTAVIATION AND AEROSPACEJanuary 2023 - Today (3 years and 5 months)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 LEADERAVIATION AND AEROSPACEJanuary 2021 - January 2023 (2 years)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 ENGINEERAVIATION AND AEROSPACEJanuary 2019 - January 2021 (2 years)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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Education
- Micro Master in Artificial IntelligenceColumbia University2019Micro Master in Artificial Intelligence
- ENGINEER'S DEGREE, COMPUTER SCIENCENational Engineering School of Computer Science2013ENGINEER'S DEGREE, COMPUTER SCIENCE