Thomas Carteret
About Thomas Carteret
Thomas Carteret is a Data Engineer II based in Montreal, Quebec, Canada, with a diverse background in data engineering and software development. He has worked at various organizations, including Intact and Crédit Agricole Technologies et Services, and holds multiple degrees in information technology and project management.
Current Role as Data Engineer II
Thomas Carteret currently holds the position of Data Engineer II at Intact Financial Corporation, where he has been employed since 2023. In this role, he focuses on managing and optimizing data engineering tasks. His responsibilities include working on big data ETL pipeline projects and collaborating with architects and data owners to ensure efficient data management and governance.
Previous Experience at Intact Financial Corporation
Prior to his current role, Thomas worked at Intact as a Data Engineer from 2022 to 2023. During this time, he contributed to various data engineering projects, including managing an end-to-end big data ETL pipeline. His experience at Intact has provided him with a solid foundation in data engineering practices within the financial sector.
Educational Background in Information Technology
Thomas Carteret has an extensive educational background in information technology. He studied at École de technologie supérieure, where he earned a Master's degree in Information Technology from 2021 to 2023. Additionally, he completed a Bachelor's degree in Electrical Engineering and Industrial Computing, majoring in IT, at IUT Lyon 1 from 2017 to 2019.
Experience in Software Engineering and IT
Before his current role, Thomas gained valuable experience in software engineering and IT. He worked as a Software Engineer at Crédit Agricole Technologies et Services for five months in 2020. He also served as an Information Technology Engineer at Agrilog Inc. from 2021 to 2022. His diverse experience includes debugging transformation pipelines and participating in the development of big data ingestion pipelines.
Technical Skills and Technology Stack
Thomas utilizes a comprehensive technology stack in his data engineering work, which includes Databricks, Snowflake, AWS services such as S3, Lambda, SQS, and Batch, as well as Jenkins and GIT. His expertise in these technologies supports his ability to manage complex data workflows and contribute to data governance and cost analysis initiatives.