Ilya Dimov is a data engineer with nine years of experience who has helped build a production-grade lakehouse and warehouse from scratch, automating data flows with Dremio, Dagster, DBT, and Kubernetes. He designs scalable ETL pipelines that ingest diverse sources—from Google Analytics to Paycom and multiple APIs—and simplifies downstream analytics with star-schema modeling using SQL, Python, and Ruby. Comfortable in AWS ecosystems, he operationalizes data platforms with Athena/Redshift, Lambdas, Step Functions, EC2, and S3. He also builds data integrity validation frameworks and connects BI tooling like Metabase, PowerBI, and Grafana to deliver reliable dashboards and automated reporting. Based in the Spokane–Coeur d'Alene area, he blends practical economics training with hands-on engineering to turn fragmented data into auditable, production-ready analytics.
9 years of coding experience
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Eastern Washington University
Contributions:12 PRs, 55 pushes, 7 branches in 1 year 2 months
nlpnatural-language-processingdiplomamasters
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