Grant Kauffman
About Grant Kauffman
Grant Kauffman is a Data Engineer with experience at ASML and Itility US since 2021. He has a background in Econometrics and Quantitative Economics from UC Irvine and is currently pursuing a Master's degree in Big Data Analytics at Georgia Institute of Technology.
Work at ASML
Grant Kauffman has been employed at ASML as a Software and Data Engineer since 2021. In this role, he focuses on developing and maintaining backend ingestion jobs using Pyspark and Delta, which optimize data workflows. His contributions include leading the migration of an on-prem Hadoop data lake to Azure Databricks/Delta Pipeline, significantly enhancing data processing capabilities.
Experience at Interlink Electronics
Before joining ASML, Grant Kauffman worked at Interlink Electronics as a Data Analyst from 2020 to 2021. During his tenure, he created visualizations and conducted statistical analyses for manufacturing teams using Spotfire. His work supported data-driven decision-making processes within the organization.
Education and Expertise
Grant Kauffman holds a Bachelor of Arts in Econometrics and Quantitative Economics from the University of California, Irvine, where he studied from 2016 to 2020. He is currently pursuing a Master of Science in Analytics at the Georgia Institute of Technology, expected to complete in 2025. His educational background provides a strong foundation in data analysis and quantitative methods.
Technical Skills and Projects
In his professional capacity, Grant Kauffman has implemented feature requests for primary applications using Mendix, improving user experience and functionality. He has also built a RESTful API to facilitate data ingestion and exposure between backend processing and frontend applications. Additionally, he implemented Six Sigma reporting tools and calculations for supervising engineers, contributing to process improvement initiatives.