About

Katie Mathison is a highly skilled data engineer with over 3 years of relevant experience in the field of data engineering and software engineering. Currently, she is working as a data engineer at Spotify, where she is responsible for designing and implementing data pipelines, optimizing data workflows, and building data infrastructure to support the company's data-driven decision-making processes. Before joining Spotify, Katie worked as a software development engineer at Amazon, where she gained valuable experience in software engineering and data engineering. During her time at Amazon, she worked on several projects that involved building scalable and reliable software systems, designing and implementing data pipelines, and optimizing data workflows. Katie holds a Bachelor's degree in Computer Science from the Massachusetts Institute of Technology (MIT), where she graduated in 2019. During her time at MIT, she gained a deep understanding of computer science concepts and developed skills in programming, data structures, algorithms, and software engineering. She also gained valuable experience through internships at Amazon, where she worked as a software development engineer intern. Katie's technical skills include data engineering, software engineering, and data analysis. She is proficient in several programming languages, including Python, Java, and C++, and has experience working with various data processing frameworks and technologies such as Hadoop, Spark, and SQL. She also has experience working with cloud computing platforms such as AWS and Google Cloud Platform. Overall, Katie is a highly motivated and talented data engineer with a passion for building scalable and reliable data systems. She is always eager to learn new technologies and techniques to improve her skills and stay up-to-date with the latest trends in the field.