Alvin Hui is a results-oriented professional with extensive experience in data engineering, big data, and data science. He has worked for prestigious companies such as Amazon and Microsoft, and his expertise and skills are highly sought-after in the tech industry. Alvin is a problem-solver who is curious about cutting-edge technology and continuously strives to learn more to advance his career. He has a strong background in programming, visualization, and database management, and his experience includes working with AWS Redshift, Hadoop, Azure Data Warehouse, Teradata, and more. Furthermore, Alvin has experience with machine learning, including regression and classification algorithms, clustering, recommendation systems, and time series analysis.

In addition to his work in the tech industry, Alvin is also a former lecturer at the University of Washington Professional & Continuing Education and served as an advisory board member for the Business Intelligence Certificate programs. Alvin's skills and experience make him an ideal candidate for companies seeking someone with expertise in data engineering, big data, and data science.