Wan Lun Lexi Lu
About Wan Lun Lexi Lu
Wan Lun Lexi Lu is a Data Engineer at 華碩電腦股份有限公司 in Taipei, Taiwan, with four years of experience. He specializes in data management, ETL processes, and cloud services, and has a Master's degree in Data Science from Queensland University of Technology.
Work at ASUS
Wan Lun Lexi Lu has been employed at 華碩電腦股份有限公司 (ASUS) as a Data Engineer since 2020. In this role, Lexi has contributed to various data management projects and has leveraged cloud services, particularly AliCloud, for efficient data deployment and management. Lexi's work focuses on providing stable data solutions to address business challenges.
Education and Expertise
Lexi Lu holds a Master of Science in Data Science from Queensland University of Technology, where she studied from 2017 to 2019. Prior to this, she earned a Bachelor's degree in Information Engineering and Computer Science from Feng Chia University, completing her studies from 2010 to 2014. Lexi has developed expertise in data engineering, cloud services, and data visualization.
Background in Software Engineering
Before her current position at ASUS, Lexi worked as a Software Engineer, where she built several government websites using C# ASP.net and JavaScript. This experience provided her with a solid foundation in software development and web technologies, which she has since applied in her data engineering role.
Technical Skills and Tools
Lexi Lu is proficient in using Apache Airflow to create customized ETL processes, enhancing data processing capabilities. She has improved execution efficiency by over 80% through the use of Apache Hadoop, Hive, and Spark to establish a data warehouse. Additionally, Lexi has experience managing a Tableau Server and has completed a Tableau workshop to advance her data visualization skills.
Data Management Experience
Lexi has handled extensive data sets, managing 100 million records for weekly issue computation using Apache Spark and Map Reduce. Her experience in data management and deployment enables her to address complex business problems effectively and contribute to data-driven decision-making.