Olivier Moises
About Olivier Moises
Olivier Moises is a Senior Data Architect specializing in machine learning engineering and operations, currently working at Euroclear and SWIFT. He has extensive experience in data architecture and software development, having held positions at various companies including Groupe IRCEM, Roquette, and BNP Paribas Fortis.
Work at Swift
Olivier Moises currently holds the position of ML Engineering & Ops at Swift, where he has been employed since 2023. His role involves leveraging machine learning techniques and operational strategies to enhance the company's technological capabilities. Prior to this position, he worked at Swift as a Senior Software Architect in Standards R&D from 2015 to 2017, contributing to the development of software standards and architecture.
Education and Expertise
Olivier Moises earned a Master's degree in Computer Science from Université des Sciences et Technologies de Lille (Lille I) in 1992. He has specialized in Scala and Functional Programming, focusing on microservices and data engineering. His technical expertise encompasses a variety of technologies, including Apache NIFI, Apache Flink, Apache Kafka, Apache Druid, Apache Airflow, and Streamsets. Additionally, he possesses advanced skills in Microsoft Azure and Reactive Programming.
Background
Olivier Moises has a diverse professional background, having worked in various roles across multiple organizations. His career includes positions as a Senior Data Architect at Groupe IRCEM, Roquette, and Euroclear, where he has been employed since 2023. He also served as a UI & MDE Expert at Huawei and a Data Hub Tech Lead at BNP Paribas Fortis. His experience spans different regions, including Belgium, France, and the Netherlands.
Achievements
Throughout his career, Olivier Moises has contributed to significant projects in software architecture and data engineering. He has worked as an Eclipse developer at Backbase and has been recognized as an Eclipse Committer, showcasing his involvement in the Eclipse community. His roles have often centered around implementing advanced data solutions and enhancing operational efficiencies in various organizations.