Daniel Scanteianu is a software engineer with 11 years of experience building data and query platform features at Bloomberg, currently contributing to Bloomberg Managed Services after work on the Data Services Metadata Platform and the Bloomberg Query Language. He holds an MS in Computer Science from Columbia and a dual BS in Computer Science and Applied Mathematics & Statistics from Stony Brook, and brings research-era rigor from internships and published work at IBM and Harvey Mudd. Comfortable pairing algorithmic thinking with production engineering, he has taught data structures and foundations to undergraduates, developing curriculum and hands-on labs. His background spans model-prediction research (patent-applied work) to distributed data services, giving him a strong footing in both ML-adjacent research and large-scale systems. Based in London, he blends a dry sense of humor with a practical focus on reliability and metadata-driven tooling that helps teams ask better questions of their data.
11 years of coding experience
4 years of employment as a software developer
High School, High School at Ossining High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Bachelor’s Degree, Computer Science Major, Applied Mathematics and Statistics Major, Jazz Minor, Bachelor’s Degree, Computer Science Major, Applied Mathematics and Statistics Major, Jazz Minor at Stony Brook University
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Daniel Scanteianu - Software Engineer at Bloomberg LP