Lukas Gust is a Senior Data Engineer and tech lead with eight years of experience building cloud-native ELT pipelines and data models across AWS, Azure, and GCP. He has a track record of turning high-volume data into actionable insights at companies from startups to enterprise (Onboard/Conservice, R1 RCM, SailPoint), combining hands-on Python/dbt development with strategy and cross-functional collaboration. Comfortable in both streaming and batch architectures, he has practical experience with Databricks, StreamSets, SageMaker, and Power BI dataflows, and often architects solutions that prioritize performance and business impact. Lukas pairs a dual academic background in computer science and mathematics with early research work detecting anomalies in large scientific datasets—an indicator of his analytical rigor and attention to data quality. He favors pragmatic, scalable designs that make analytics accessible to product and engineering teams while reducing operational overhead.
8 years of coding experience
7 years of employment as a software developer
Associate of Science - AS Mathematics and Computer Science, Associate of Science - AS Mathematics and Computer Science at Salt Lake Community College
The University of Utah
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Utah John and Marcia Price College of Engineering
Methods for detecting anomalies in accumulated precipitation data. -Lukas Gust
Contributions:30 pushes in 6 months
detectingprecipitationprecipitation-datalukas
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