About

Christopher Davis is a skilled data engineer with over 7 years of relevant experience in the field. He is currently working at Autodesk as a data engineer, where he has been instrumental in designing and implementing data pipelines that support the company's analytics and reporting needs. Prior to joining Autodesk, Christopher worked as a data scientist and analytics professional at Coffee Meets Bagel, where he developed and implemented predictive models to improve user engagement and retention. He also worked as a business intelligence developer at Pac-12 Networks, where he was responsible for designing and maintaining data warehouses and dashboards to support the company's reporting needs. Christopher holds a Bachelor's degree from Conestoga High School and a Master's degree in Data Science from Cornell University. During his time at Cornell, he gained valuable experience in data engineering, data science, and research science. Christopher's technical skills include data engineering, data science, and research science. He is proficient in a variety of programming languages and tools, including Python, SQL, and Hadoop. He is also experienced in working with cloud-based platforms such as AWS and Azure. Overall, Christopher is a highly motivated and skilled data engineer with a proven track record of success in the field. He is passionate about using data to drive business insights and is always looking for new and innovative ways to solve complex data problems.