Nguyen Ba Tung Lam
About Nguyen Ba Tung Lam
Nguyen Ba Tung Lam is a Data Engineer with extensive experience in data pipeline management and optimization. He has worked for various organizations in Vietnam, including FPT Software and Employment Hero, and has achieved significant improvements in data processing efficiency.
Work at Employment Hero
Nguyen Ba Tung Lam has been employed as a Data Engineer at Employment Hero since 2023. In this role, he focuses on scaling up data pipelines for multiple production databases and services. His responsibilities include managing and monitoring various AWS data services, such as AWS Redshift and AWS Lambda. His current position allows him to leverage his expertise in data engineering to enhance operational efficiency.
Previous Experience in Data Engineering
Prior to his role at Employment Hero, Nguyen Ba Tung Lam worked at MBBank as a Data Engineer from 2021 to 2024. He contributed to various data engineering projects and initiatives during his tenure. Additionally, he served as an Artificial Intelligence Intern at FPT Software for four months in 2020, where he gained foundational experience in the field.
Education and Expertise
Nguyen Ba Tung Lam studied at Hanoi University of Science and Technology, where he earned an Engineer's degree in Information Technology from 2017 to 2022. His academic background provided him with a solid foundation in data engineering and related technologies, which he has applied in his professional roles.
Research and Teaching Experience
Nguyen Ba Tung Lam has a background in research and education. He worked as a Student Researcher at SoICT, HUST from 2020 to 2021, where he engaged in various research projects. Additionally, he was involved with MindX Group - Technology & Startup School, serving as a Teacher from 2018 to 2023 and as a Tech Lead - Camp Organizer for six months in 2020.
Achievements in Data Management
In his current role, Nguyen Ba Tung Lam has achieved significant improvements in data management. He reduced daily pipeline costs by 90% and decreased running time by 35%. He also restructured the Data Warehouse Logical Layer, resulting in a 40% improvement in design and runtime efficiency, showcasing his capability in optimizing data processes.