About

Cody Kimball is a Senior MDM Engineer at Workday with over 6 years of relevant experience in the field of data engineering. He has a Master's degree in Management Information Systems, Services and Business Intelligence and a Bachelor's degree in Information Systems from Brigham Young University. Cody's expertise lies in getting data through web scraping and APIs, storing data using data warehousing and ETL development, and visualizing data using tools like Tableau and SQL. He is always open to contracted/consulting projects and can be contacted for data-related projects that require his skill set. His contracting portfolio can be found at www.the-data-guy.com. Cody's professional goal is to use information technology to solve business problems and create and maintain systems to solve business needs. He is passionate about understanding and maintaining big data and is paving his way to becoming a significant contributor to this community. At Workday, Cody works with a tech stack that includes Snaplogic, Reltio, Salesforce, Marketo, and AWS Services. He has also worked as the founder of The Data Guy, offering freelance services in data visualizations, data engineering (ETL), data/web scraping, and data warehousing and storage. Cody has also worked as an Internal Systems Integrations Architect at Pluralsight, where he architected an in-house Early Warning System (EWS) and created an automated Enterprise Business Review deck using Tableau. He spearheaded the vendor selection and subsequent implementation of Mulesoft and led trainings on Mulesoft and various data integration strategies. He also built and/or led Mulesoft integration development between systems including Salesforce, NetSuite, Coupa, Zuora, Concur, Marketo, Neverbounce, Workday, Stone Security/S2, Okta that resulted in automated business processes, CPQ integrations, and direct web checkout capabilities. Cody's tech stack includes SQL, AWS, Integration, Web, Salesforce, ETL, Big Data, Senior Software Engineer, CI/CD, Kubernetes, Docker, Hadoop, Postgres, and Data Engineering.