Adam Duval
About Adam Duval
Adam Duval is a Data Analyst with a strong background in data automation and optimization. He has worked for various companies, including Brenntag Canada and J.D. Irving, and currently contributes to Cooke Inc. since 2023.
Work at Cooke
Adam Duval has been employed at Cooke Inc. as a Data Analyst since 2023. His role involves managing the Azure DevOps environment and overseeing CI/CD deployment pipelines. He focuses on optimizing data processes and ensuring efficient access to key data across the organization. His contributions are aimed at enhancing data integration and reporting capabilities.
Previous Experience
Before joining Cooke Inc., Adam Duval worked at J.D. Irving, Limited as a Business Intelligence Specialist from 2021 to 2023. He also held positions at Brenntag Canada, where he served as a Technical Service Representative from 2008 to 2021 and as an Account Manager from 2007 to 2008. Additionally, he worked as a Laboratory Technologist at Maxxam Analytics from 2006 to 2007.
Education and Expertise
Adam Duval earned a Bachelor of Science degree in Chemistry from Dalhousie University. He holds a HarvardX Professional Certificate in Computer Science for Artificial Intelligence. His expertise includes data analysis, integration, and management, with certifications as a Tableau Certified Data Analyst and Alteryx Designer Core.
Achievements in Data Analysis
Adam Duval developed a Python application that automated results reporting, saving his team 2000 hours and $100,000. He decreased data product downtime by 25% by building cohesive data sources and optimizing SQL queries. He also optimized dbt and Azure DevOps CI/CD processes, reducing build time by 50% and enabling hourly access to critical data.
Technical Skills
Adam Duval possesses strong technical skills in data management and analysis. He develops data integrations using Fivetran and Snowflake and oversees dbt projects, ensuring code quality and mentoring users on best practices. His proficiency in scripting data integrity checks contributes to maintaining high standards in data quality.