Philip Solovyev is a senior ETL analyst and hydrology expert with eight years in data engineering and over a decade of research and operational experience in river hydrology and flood forecasting. He specializes in reshaping complex medical datasets to OMOP CDM, building scalable ETL/ELT pipelines, and applying rigorous data cleaning, imputation, and quality testing to support reproducible research. Philip’s background in stochastic river-flow modeling, heavy-tail analysis, and hydrodynamic simulation informs a methodical approach to data-driven problem solving that bridges environmental science and clinical data interoperability. He mentors junior engineers, conducts technical hiring, and contributes to OHDSI clinical trials conventions, demonstrating leadership beyond pure engineering. Based in Vilnius with a PhD in engineering sciences, he brings a rare combination of field hydrometry experience (including ADCP use and surveying) and production-ready data engineering skills.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Engineering sciences, Doctor of Philosophy (Ph.D.), Engineering sciences at Russian State Hydrometeorological University
[under development] ETL materials to support proposal for CDM enhancements for clinical trial data
Contributions:77 pushes, 46 branches in 9 months
clinical-trialclinicalunder-developmentetlcdm
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Philip Solovyev - Sr. ETL Analyst at Odysseus Data Services, Inc.