Dylan Intorf
About Dylan Intorf
Dylan Intorf serves as the Principal Architect for Machine Learning and Data at Accrete AI, where he has worked since 2023. He has a diverse background in data engineering and software development, with experience across various industries and expertise in cloud solutions and data pipeline orchestration.
Work at Accrete AI
Dylan Intorf currently serves as the Principal Architect for Machine Learning and Data at Accrete AI. He has been in this role since 2023, contributing to the development of advanced machine learning solutions. His responsibilities include designing and implementing data architectures that support the company's innovative AI initiatives.
Previous Experience at Astronomer
Prior to his current position, Dylan worked at Astronomer as a Solutions Data Engineer from 2021 to 2022 for 11 months. He later transitioned to the role of Solutions Architect at the same company from 2022 to 2023 for 9 months. In these positions, he focused on data engineering and architecture, enhancing the company's data solutions.
Background in Data Engineering
Dylan has a solid background in data engineering, having worked at REPAY - Realtime Electronic Payments as a Data Engineer from 2020 to 2021 for 1 year. He also held the position of Full Stack Developer at REPAY from 2017 to 2020 for 3 years. His experience spans various roles that emphasize data pipeline orchestration and infrastructure management.
Education and Expertise
Dylan Intorf has a diverse educational background. He studied Graphic Design at Scottsdale Community College in 2009 for 11 months. He then pursued Computer Science at Northern Arizona University from 2010 to 2011 for 1 year, followed by a Bachelor's Degree in Computer Science with an emphasis in Information Assurance from Arizona State University from 2013 to 2015 for 2 years. Additionally, he earned an Associate's Degree in Computer Programming from Mesa Community College from 2011 to 2013 for 2 years. His expertise includes data pipeline orchestration using Apache Airflow and cloud infrastructure management across platforms such as AWS, GCP, and Azure.
Focus on Quality Solutions
Dylan emphasizes the importance of delivering quality and efficient solutions in his work. He leverages automated testing and Continuous Integration/Continuous Deployment (CI/CD) practices to ensure the reliability and performance of the systems he develops. His approach integrates best practices in software development and data management.