Guillaume Facchini Fetter
About Guillaume Facchini Fetter
Guillaume Facchini Fetter is a Data Engineer with experience at various companies including Zenika and Northvolt. He holds an Engineering Master's Degree from IMT Atlantique and specializes in Spark, Kafka, and Hadoop applications.
Work at Northvolt
Guillaume Facchini Fetter has been employed as a Data Engineer at Northvolt since 2022. His role is based in Stockholm, Stockholm County, Sweden. At Northvolt, he applies his expertise in data engineering to support the company's initiatives in the battery manufacturing sector, contributing to the development of sustainable energy solutions.
Previous Experience in Data Engineering
Before joining Northvolt, Guillaume worked as a Data Engineer at Zenika from 2018 to 2022 in Région de Lyon, France. He also held a position at EURA NOVA as a Data Engineer at SWIFT from 2016 to 2018 in Mont-Saint-Guibert. His experience in these roles involved utilizing data engineering techniques and tools to enhance data processing and analysis.
Education and Expertise
Guillaume holds an Engineering Master's Degree, Diplôme D'Ingénieur des Mines de Nantes, which he earned from IMT Atlantique between 2012 and 2015. His studies focused on Production & Logistics Management. Additionally, he completed his Baccalauréat Général Scientifique at Lycée Français de Madrid, specializing in Sciences de la Vie et de la Terre and Mathematics.
Advocacy for Software Craftsmanship
Guillaume advocates for software craftsmanship within the field of data engineering. He promotes best practices such as automated testing, code reviews, and continuous integration. His approach emphasizes the integration of software development methodologies into data handling applications, enhancing the quality and reliability of data processes.
Specialization in Data Technologies
Guillaume specializes in data technologies including Spark, Kafka, and Hadoop. His focus is on data engineering, science, and analysis, where he leverages these technologies to optimize data workflows and improve data-driven decision-making processes.