Eric Jésover

Eric Jésover

Senior Director Architecture , Labs & Open Source @ Talend

About Eric Jésover

Eric Jésover is a Senior Director of Architecture, Labs & Open Source at Talend, where he has worked since 2022. He has extensive experience in software engineering and big data solutions, with a strong background in C++ programming and expertise in AWS integration and machine learning applications.

Work at Talend

Eric Jésover has been employed at Talend since 2020, initially serving as Director of Engineering for four years in Suresnes, Île-de-France, France. In 2022, he advanced to the position of Senior Director Architecture, Labs & Open Source, where he continues to contribute to the company's initiatives in Paris. His role involves overseeing architectural strategies and leading open-source projects, aligning with Talend's focus on data integration and management solutions.

Previous Experience

Prior to his tenure at Talend, Eric Jésover worked at Thomson Reuters from 2005 to 2013. He began as a Software Engineer and later progressed to the role of Project Leader. Following this, he served as Associate Director at BearingPoint from 2017 to 2020. Additionally, he was the Chief Technology Officer at HyperCube Research, a subsidiary of BearingPoint, from 2013 to 2017. This diverse experience has equipped him with a broad understanding of technology and project management.

Education and Expertise

Eric Jésover holds a Master’s Degree in Computer Science from Pierre and Marie Curie University, where he studied from 1987 to 1992. His academic background laid the foundation for his expertise in integrating AWS with big data solutions. He specializes in machine learning applications and possesses advanced skills in programming languages such as C++, Node.js, and Spark, enabling him to develop scalable applications.

Technical Skills and Specializations

Eric Jésover has a strong technical skill set that includes expertise in C++ programming, which he has applied to complex software architecture projects. His specialization in machine learning applications within the context of big data further enhances his capability to address modern data challenges. Additionally, his proficiency in Node.js and Spark supports his work in developing scalable applications, making him a valuable asset in the tech industry.

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