About

Wang Tao is an accomplished Software Engineer with a focus on data platform, data computation, and data optimization. He currently works at Uber and is responsible for developing and maintaining their data infrastructure. With over 5 years of relevant experience, Wang has a deep understanding of big data engines such as Spark, Flink, and Presto, as well as big data storage formats like Apache ORC and Parquet. He is also well-versed in schedulers like Ariflow. Prior to joining Uber, Wang worked at Electronic Arts (EA) as a Software Engineer III and II, where he gained extensive experience in software development. He is a graduate of Texas A&M University, where he earned his Master's degree in Computer Science in 2018. Wang also holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from Beijing University of Posts and Telecommunications. Wang is a highly skilled Software Engineer with expertise in big data and Spark. He is proficient in programming languages such as Java, Python, and Scala. His technical skills, combined with his experience in the industry, make him a valuable asset to any team. Wang is a problem-solver who enjoys working on complex projects and is always looking for ways to improve processes and optimize performance. In his spare time, Wang enjoys reading about new technologies and advancements in the field of computer science. He is passionate about staying up-to-date with the latest trends and innovations and is always looking for opportunities to expand his knowledge. Wang is a dedicated and hardworking individual who is committed to achieving excellence in his work.