Rich Landry
About Rich Landry
Rich Landry serves as the Data Migration Team Lead at Syniti in Saginaw, Michigan, where he has worked since 2021. He has extensive experience in data migration, having held various roles at notable companies including Phillips 66, Cintas, and The Dow Chemical Company.
Work at Syniti
Rich Landry has been serving as the Data Migration Team Lead at Syniti since 2021. In this role, he is responsible for overseeing data migration projects, ensuring that all deliverables are met on time and within budget. His expertise in data migration methodologies contributes to the successful execution of complex data projects at Syniti, located in Saginaw, Michigan.
Previous Experience in Data Migration
Prior to his current position, Rich Landry worked at Phillips 66 as an SAP MM, HVC-CM Data Migration Consultant from 2018. He also held roles at Cintas as an SAP SD Data Migration Consultant and at DMR, Inc. as a Senior Consultant. His extensive experience includes positions at The Dow Chemical Company, United States Postal Service, Bose Corporation, and Rohm and Haas, where he led various data migration initiatives.
Education and Expertise
Rich Landry studied at Villanova University, where he earned a Bachelor of Science (B.S.) in Civil Engineering from 1988 to 1992. He later attended Northeastern University, achieving an Associate's degree in Information Technology from 1998 to 1999. His educational background supports his expertise in data migration and project management.
Achievements in Data Migration Projects
Rich Landry has successfully designed and implemented data migration processes, including the loading of over 100 million records of EHS-SAF substance and phrase data using LSMW/BAPI/BDC. He has customized web applications for data transformation and has led the migration of employee master data to the SAP HCM module, as well as product safety and waste management data to the SAP EHS module.
Methodologies and Tools Utilized
Throughout his career, Rich Landry has utilized BackOffice Methodology and Tools to meet project deliverables. His proficiency in these methodologies has enabled him to manage data migration projects effectively, ensuring that they are completed on time and within budget.