About

Andrew Lee is a highly experienced Senior Data Engineer currently working at Bloomberg LP. With over 10 years of experience in the field, he has a strong background in data engineering, business intelligence development, and data analytics. Andrew's career began at Deloitte, where he worked as a Data Analytics Senior Associate. During his time at Deloitte, he gained valuable experience in data analytics, data modeling, and data visualization. He then moved on to Bloomberg Philanthropies, where he worked as a Business Intelligence Developer. Here, he developed his skills in data warehousing, ETL processes, and data integration. Currently, Andrew works at Bloomberg LP as a Senior Data Engineer. In this role, he is responsible for designing and implementing data pipelines, building and maintaining data infrastructure, and optimizing data storage and retrieval. He is a skilled problem-solver and has a deep understanding of data engineering best practices. Andrew holds a Bachelor's degree in Computer Science from the University of New South Wales (UNSW). During his time at UNSW, he gained a strong foundation in computer science fundamentals, including programming, algorithms, and data structures. In terms of technical skills, Andrew is proficient in data engineering and has extensive experience working with various tools and technologies. His tech stack includes data engineering tools such as Apache Kafka, Apache Spark, and Apache Hadoop. He is also skilled in programming languages such as Java, Python, and SQL. Overall, Andrew is a highly skilled Senior Data Engineer with a wealth of experience in data engineering, business intelligence development, and data analytics. He is a dedicated and driven professional who is passionate about using data to drive business outcomes.