Summary
Christopher Pease is a Senior Data Engineer based in New York with eight years of experience applying physics-trained rigor to data-intensive business problems. He specializes in ETL, pyspark, Python, and SQL to build scalable pipelines and operationalize machine learning, with roles spanning data science, MLOps, and consultancy. His background includes physics research at CERN-level collaborations and practical analytics work forecasting ETFs, detecting fake news, and deploying models in production environments. At Publicis Media he has progressed from Data Engineer to Senior Data Engineer, reflecting both technical depth and delivery leadership in media analytics. Comfortable bridging research and production, he brings a habit of quantifying uncertainty and designing reproducible workflows that surface non-obvious business insights.
8 years of coding experience
7 years of employment as a software developer
Data Science Immersive, Data Science Immersive at Flatiron School
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at The Graduate Center, City University of New York
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Macaulay Honors College at The City University of New York
English, Spanish