Summary
Artem Chebotko is a Specialist Solutions Architect with over two decades of experience in data modeling, engineering, and analytics, now helping customers migrate large-scale BI workloads to the Databricks Lakehouse from Houston. He blends academic rigor—authoring a pioneering IEEE-published methodology for Apache Cassandra and over 50 peer-reviewed papers early in his career—with hands-on production work across Cassandra, BigQuery, Spanner, MongoDB, CockroachDB, Pinot, Kafka, and Spark. At DataStax he created Chebotko Diagrams and contributed training and tooling to operationalize Cassandra data modeling; in industry roles he has designed star schemas, led migrations, and benchmarked terabyte-scale OLTP/OLAP systems. Known for optimizing performance and scalability, he pairs schema design with benchmarking and cost analysis to drive pragmatic technology choices. He also brings faculty experience mentoring graduate students and publishing highly cited research, a background that fuels his focus on rigorous, explainable architectures. Colleagues rely on him for translating complex data requirements into production-ready, measurable solutions.
11 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Wayne State University
Master of Science (M.S.) Management Information Systems, Master of Science (M.S.) Management Information Systems at Ukraine State Maritime Technical University
English, Ukrainian, Russian