Vu Hai Nguyen

Vu Hai Nguyen

Tech Lead Of Data Integration @ Cognite

About Vu Hai Nguyen

Vu Hai Nguyen is a Tech Lead of Data Integration at Cognite, where he oversees the development of the Transformation service for Cognite Data Fusion. He has a background in software engineering and data integration, with previous experience at Continental, Amadeus IT Group, ACTIA Group, and MyCoach.

Work at Cognite

Currently, Vu Hai Nguyen serves as the Tech Lead of Data Integration at Cognite, a position he has held since 2022 in Oslo, Norway. In this role, he is responsible for the development and maintenance of the Transformation service, a critical component of Cognite Data Fusion. This service utilizes Apache Spark to facilitate data streaming and transformation, enhancing the platform's capabilities. Additionally, he has been working as a Senior Software Engineer at Cognite since 2021, contributing to various aspects of data integration and optimization.

Previous Experience

Prior to his current role at Cognite, Vu Hai Nguyen worked at Amadeus IT Group as a Software Engineer from 2014 to 2019 in Nice, Provence-Alpes-Cote d'Azur, France. He also held an Engineer Intern position at Continental in 2013 for three months in Toulouse, where he gained initial industry experience. Additionally, he interned at ACTIA Group for six months in 2014. Between 2020 and 2021, he worked as a Scala BackEnd Developer at MyCoach, further developing his software engineering skills.

Education and Expertise

Vu Hai Nguyen studied at the Institut national des Sciences appliquées de Toulouse, where he focused on Critical Embedded Systems and earned an Engineer's degree from 2010 to 2014. His educational background provides a strong foundation for his expertise in data integration, particularly within the Cognite Data Fusion platform. He specializes in enhancing data transformation capabilities and plays a vital role in optimizing data integration processes.

Key Responsibilities

In his role at Cognite, Vu Hai Nguyen is instrumental in enabling data streaming from staging areas into the data model of Cognite Data Fusion. His responsibilities include overseeing the integration of data into the platform, which is an essential aspect of the industrial DataOps framework. His work focuses on improving the efficiency and effectiveness of data transformation processes, ensuring that the platform meets the needs of its users.

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