About

George Danforth is a highly skilled Data Engineer with over 6 years of relevant experience in the field of data engineering and software engineering. Currently, he is working as a Data Engineer at Illumis, where he is responsible for building and maintaining data pipelines, designing and implementing data models, and optimizing data infrastructure for the company. Prior to joining Illumis, George worked as a Software Engineer at Upsolve and Quorum, where he gained expertise in developing and deploying software systems, building scalable applications, and working with various programming languages and tools. His experience in software engineering has enabled him to bring a unique perspective to his work in data engineering, allowing him to create efficient and effective solutions for data processing, storage, and analysis. George holds a Bachelor of Science degree in Physics, Mathematics, and Computer Science from The Johns Hopkins University, where he gained a strong foundation in mathematical modeling, data analysis, and computer programming. He also earned a Bilingual IB Diploma from Washington International School, where he specialized in Mathematics, Physics, and Design Technology. George's technical skills include expertise in Data Engineering and Software Engineering, and he is proficient in programming languages such as Python, Java, and SQL. He has experience working with various data processing tools, including Apache Spark, Hadoop, and Kafka, and is skilled in designing and implementing data models using SQL and NoSQL databases. Overall, George is a highly skilled Data Engineer with a strong technical background in software engineering and data analysis. He is passionate about using his skills to create innovative solutions that help businesses make data-driven decisions and improve their operations.