Haitian Lan
About Haitian Lan
Haitian Lan is a Manager of Data & Cloud at KPMG Australia, specializing in data analytics and cloud solutions. He holds multiple engineering degrees and a master's in Information Technology, with extensive experience in financial services and various other sectors.
Work at KPMG Australia
Currently, the individual serves as Manager, Data & Cloud at KPMG Australia, a position held since 2021. The role is based in Sydney, New South Wales, Australia. In this capacity, the individual focuses on data and cloud solutions, leveraging extensive expertise in cloud platforms to enhance data analytics capabilities.
Education and Expertise
The individual holds a Bachelor of Engineering with Honours in Mechanical and Industrial Engineering from The Australian National University. Additionally, they earned a Bachelor of Engineering in Industrial Engineering from Beijing Institute of Technology. Furthering their education, they obtained a Master of Information Technology from the University of Sydney and completed an Executive Education program on Transforming Your Business with AI at INSEAD in 2022.
Background in Financial Services
The individual has significant experience in the financial services sector, including roles in digital banking, financial advisory, and risk management. Prior to joining KPMG, they worked at Commonwealth Bank as a Technical Business Analyst in Data Platform, Analytics & Insights for four years, where they contributed to data-driven decision-making processes.
Previous Roles and Experience
Before their current position, the individual worked at PwC Australia as a Senior Consultant to Manager in Data Transformation for two years. They also gained experience as a Data Analyst Intern at CoreLogic Australia. Their career spans various sectors, including Government Transport, Higher Education, Energy, and Media, showcasing a diverse professional background.
Technical Skills and Tools
The individual possesses expertise in leveraging major cloud platforms such as AWS, Azure, GCP, Snowflake, Alation, and Collibra for data and analytics solutions. They are skilled in data analytics and reporting technologies, including SQL, Power BI, Tableau, R, Python, Hadoop, and Spark, enabling them to effectively address complex data challenges.