About

Trent Shapiro is a seasoned data science consultant with over 8 years of relevant experience in the field of data engineering. Currently, he is associated with Inovum, where he leverages his expertise to provide cutting-edge solutions to clients. Prior to this, he worked as a data engineer at Avant and as a senior consultant at Quebit Consulting. Trent holds a bachelor's degree from Randolph School and has pursued his master's in data engineering from Rensselaer Polytechnic Institute. During his academic tenure, he gained hands-on experience in data engineering and honed his skills in this domain. He is proficient in various data engineering tools and technologies and has a deep understanding of data modeling, ETL processes, and data warehousing. Apart from his technical skills, Trent is also known for his exceptional communication and interpersonal skills. He has a proven track record of collaborating with cross-functional teams and delivering projects within tight deadlines. He is a quick learner and keeps himself updated with the latest trends and developments in the field of data engineering. Trent's expertise in data engineering has helped him design and implement data-driven solutions for clients across various industries, including healthcare, finance, and retail. He has a keen eye for detail and ensures that the solutions he delivers are accurate, efficient, and scalable. Overall, Trent Shapiro is a highly skilled data science consultant with a passion for data engineering. He is committed to delivering high-quality solutions that meet the unique needs of his clients and help them achieve their business objectives.