Laurent Guichard
About Laurent Guichard
Laurent Guichard is a Data Warehouse Team Lead at Thomson Reuters, where he has worked since 2011. He has a strong background in data architecture and business intelligence, with experience at companies such as Marsh, HSBC, and SII.
Current Role at Thomson Reuters
Laurent Guichard serves as the Data Warehouse Team Lead at Thomson Reuters. He has held this position since 2011, contributing over 13 years of experience in data management and analytics. In this role, he focuses on aligning data solutions with business objectives, ensuring that data lakes effectively support organizational needs. His responsibilities include overseeing data migration processes and implementing strategies that enhance data accessibility and usability.
Previous Experience in Data Architecture
Prior to his current role, Laurent Guichard worked as a Data Architect at Marsh from 2010 to 2011. In this position, he was responsible for designing and implementing data architecture solutions that met the company's requirements. His earlier experience includes a four-year tenure as a Business Intelligence Analyst at HSBC from 2006 to 2010, where he developed insights from data to support business decisions. Additionally, he worked as a Business Intelligence Consultant at SII from 2004 to 2006.
Educational Background in Mathematics and Engineering
Laurent Guichard has a solid educational foundation in mathematics and engineering. He studied at Mathématiques Supérieures et Spéciales for two years, focusing on advanced mathematical concepts from 1991 to 1993. He also attended Ecole Supérieure du Bois, where he earned an Engineer's/Master's degree in Physics and Mathematics from 1993 to 1996. His early education includes seven years at Lycée Claude Monet, where he developed a strong base in mathematics.
Technical Skills and Expertise
Laurent Guichard possesses extensive technical skills in data solutions. He is proficient in utilizing technologies such as Oracle, Snowflake, AWS, Linux, and Informatica. His expertise includes aligning data lakes with business objectives and employing TOGAF for enterprise architecture frameworks. He is also skilled in data migration processes and strategies, which are essential for effective data management in organizations.