About

Xiang Liu is a highly skilled Data Engineer with over 6 years of experience in the field of Data Engineering, Research Science, and Data Science. Currently, Xiang is working as a Data Engineer at Spotify, where he is responsible for designing, building, and maintaining large-scale data processing systems that support the company's data infrastructure. Prior to joining Spotify, Xiang worked as a Data Scientist at WalmartLabs, where he was involved in developing predictive models and data-driven solutions to improve the company's business operations. Before that, he worked as a Research Assistant at New York University - Polytechnic School of Engineering, where he gained valuable experience in research and development of computer systems. Xiang holds a Doctor of Philosophy (PhD) degree in Computer Science from New York University, where he conducted research on distributed systems and cloud computing. He also holds a Master of Science (M.S.) degree in Computer Science from Peking University. Xiang's technical skills include Data Engineering, Research Science, and Data Science. He is proficient in programming languages such as Python, Java, and SQL. He has experience working with big data technologies like Hadoop, Spark, and Hive. Xiang is also skilled in machine learning algorithms and data visualization tools. With his extensive experience and technical expertise, Xiang is a valuable asset to any organization looking to build and maintain complex data processing systems. He is a detail-oriented, analytical thinker who is passionate about solving complex data-related problems.