Daniel Klass is an experienced data engineer and engineering manager with a robust background in data engineering and industrial engineering. At Meta, Daniel serves as a Staff Data Engineer, leading efforts in end-to-end encryption and creating core datasets. Previous roles at Meta included managing a team as Engineering Manager and contributing as a Senior Data Engineer, focusing on data artifacts and system optimization. Daniel's earlier experience includes co-op positions at S&C Electric Company, where skills in process optimization and inventory management were developed, and a position at Texas Instruments, where quantitative applications and high-performance ETL pipelines were created. Academically, Daniel holds a Master of Science in Computer Science from Georgia Institute of Technology and a Bachelor's degree in Industrial Engineering from Purdue University, supplemented with a certificate in entrepreneurship from Tsinghua University.
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