About

Connor Ameres is a skilled Software Engineer with a specialization in Revenue Data Engineering. He is currently employed at Datadog, where he works on developing software applications that help businesses manage their data effectively. Connor has a proven track record of delivering high-quality solutions that improve data processing and analysis. Prior to joining Datadog, Connor worked at Metromile as a Senior Data Engineer and Data Engineer. During his tenure at Metromile, he gained extensive experience in data engineering, working on projects that involved data processing, data warehousing, and data analytics. He was responsible for designing and implementing scalable data pipelines, optimizing data storage and retrieval, and ensuring data quality. Connor is a highly educated professional with a Master of Science degree in Analytics from the University of San Francisco and a Bachelor of Science degree in Computer Science from Rensselaer Polytechnic Institute. He has a deep understanding of data engineering and software engineering, which he leverages to create innovative solutions that meet business needs. Connor's technical skills include data engineering and software engineering. He is proficient in programming languages such as Python, Java, and SQL. He has experience working with Big Data technologies such as Hadoop, Spark, and Kafka. Connor is also familiar with cloud computing platforms such as AWS and Google Cloud. With 5.78 years of relevant experience, Connor is a valuable asset to any organization that requires expertise in data engineering and software engineering. He is a self-motivated, results-driven professional who is passionate about creating solutions that make a difference. Connor is a team player who thrives in collaborative environments and is always willing to go the extra mile to ensure project success.