Summary
Nicklaus Roach is a data engineer with a strong blend of hands-on data science and engineering experience, currently building data infrastructure at Dagster Labs after recent roles at Astronomer and 84.51˚. He designs scalable Snowflake-backed pipelines and custom Airflow/Dagster extensions, and has a track record of accelerating feature engineering and model workflows (e.g., cutting feature-build times from hours to minutes). Nicklaus pairs deep Python, Spark, and SQL expertise with practical product impact—creating data marts, health scores for customer success, and internal Python packages that standardized model evaluation and data access. Trained with an MS in Computing and Information Science and a math/statistics undergraduate background, he also brings web development and data governance experience from earlier roles. He’s drawn to solving complex data problems and routinely converts messy enterprise data into reusable, production-ready assets that speed decision-making.
3 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computing and Information Science, Master of Science - MS Computing and Information Science at Case Western Reserve University
Bachelor’s Degree Mathematics and Statistics, Bachelor’s Degree Mathematics and Statistics at Miami University
English