Arnoux Olivier

Data Engineer @ RapidDeploy

About Arnoux Olivier

Arnoux Olivier is a Data Engineer at RapidDeploy in Cape Town, South Africa, with a background in Business Systems Analysis and Industrial Engineering. He has previously worked as a BI Developer at MultiChoice and as a Business Intelligence Specialist at Rhino Africa.

Work at RapidDeploy

Arnoux Olivier has been employed at RapidDeploy as a Data Engineer since 2019. In this role, he focuses on data management and analytics, contributing to the company's efforts in enhancing operational efficiency and decision-making processes. His tenure at RapidDeploy spans five years, during which he has developed skills relevant to the data engineering field.

Education and Expertise

Arnoux Olivier studied at GetSmarter, where he completed a program in Business Systems Analysis and earned the designation of Business Systems Analyst in 2016. He also attended Cape Peninsula University of Technology, where he pursued a degree in Industrial Engineering, achieving a National Diploma in Industrial Engineering from 2012 to 2014. This educational background equips him with a solid foundation in both business and engineering principles.

Professional Background

Before joining RapidDeploy, Arnoux Olivier held several positions in the field of data and business intelligence. He worked as a Business Intelligence Specialist at Rhino Africa from 2016 to 2017, where he focused on data analysis and reporting. He briefly worked as a BI Developer at MultiChoice in 2017 for two months. His early experience includes studying at Cape Peninsula University of Technology from 2012 to 2014.

Career Progression

Arnoux Olivier's career progression reflects a focus on data and business intelligence roles. After completing his studies, he began his professional journey as a Business Intelligence Specialist at Rhino Africa. He then transitioned to a short role at MultiChoice as a BI Developer before taking on his current position at RapidDeploy. His experiences contribute to his expertise in data engineering and analytics.

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