Joe Minichino
About Joe Minichino
Joe Minichino is a Data Architect at Teamwork in Cork, Ireland, with extensive experience in software development and data engineering. He has authored educational content and has a background in artificial intelligence and computing.
Work at Teamwork
Joe Minichino has been employed at Teamwork as a Data Architect since 2021. In this role, he focuses on designing end-to-end AWS pipelines for data analysis and visualization. His work involves utilizing technologies such as Lambda, Kinesis, DMS, Glue, Athena, Quicksight, and Sagemaker. Prior to his current position, he worked as a Big Data Engineer at Teamwork from 2020 to 2021 and as an R&D Labs Engineer from 2018 to 2020. His contributions to Teamwork include developing CI/CD pipelines with Sagemaker Pipeline and optimizing Redis performance and tooling.
Professional Experience
Joe Minichino has a diverse background in software development and engineering. He served as a Senior Software Developer at Hoolux Medical from 2013 to 2015 and later held the position of Chief Technical Officer at the same company for nine months in 2016. He also worked as a Web Developer at Siemens from 2004 to 2007. Additionally, he has been an author at Packt Publishing since 2015, where he created the video course 'Machine Learning with OpenCV.' His experience spans various roles that emphasize his expertise in data architecture and software development.
Education and Expertise
Joe Minichino studied at Munster Technological University, where he earned a Higher Certificate in Science in Computing from 2006 to 2011. He furthered his education at Udacity, completing a Nanodegree program in Artificial Intelligence and achieving a specialization in Machine Learning and Deep Learning in 2017. His educational background provides a strong foundation for his work in data architecture and software development, particularly in machine learning and artificial intelligence.
Technical Contributions
Joe Minichino has made significant technical contributions throughout his career. He is known for creating a NoSQL database system called LokiJS. His work at Teamwork includes designing and implementing AWS data pipelines and developing CI/CD pipelines with Sagemaker Pipeline. He has a focus on Redis usage, performance, tooling, and optimization, which enhances data processing capabilities within the organization. His technical skills are complemented by his experience in machine learning and artificial intelligence.