Description

I help companies build, modernize, and accelerate Data Warehouse, BI, and analytics platforms using Microsoft Fabric, Snowflake, dbt, Power BI, and AI-assisted development.

I am a hands-on Lead Data Engineer / DWH Architect with 25+ years of experience in business automation, enterprise BI, cloud data platforms, semantic modelling, and production-grade data engineering.

What I can help with:

Microsoft Fabric implementation: Lakehouse, Warehouse, pipelines, semantic models, Power BI-ready analytical layers
Migration from legacy SSIS / SSAS / SQL Server BI solutions to modern Fabric-based architectures
Snowflake + dbt DWH development, modelling, refactoring, testing, documentation, and performance optimization
Corporate data catalog, business glossary, metadata layer, documentation standards, and governance
Semantic layer design: Power BI models, Snowflake Semantic View, KPI logic, business metrics
AI-assisted DWH development using Codex, Claude, Copilot, agents, and spec-driven workflows
Automation of data engineering tasks: SQL/dbt generation, documentation, data quality checks, lineage, migration support, code review
Performance optimization for SQL, DAX, MDX, dbt models, ETL/ELT, and BI reporting

My key advantage is combining technical expertise with deep understanding of business processes. I know how enterprise data is created, transformed, governed, and used for decision-making.

I built AI-assisted frameworks with 50+ agents/skills for DWH projects, covering requirements, model generation, SQL review, dbt development, documentation, lineage, data quality, semantic layer design, and migration logic. In some cases, this increased productivity by 20x while improving consistency and reducing delivery risk.

I work best on complex data projects where architecture, engineering, and business logic must come together in a reliable, scalable solution.

Languages

Ukrainian
Native or bilingual
English
Conversational
Russian
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

EIS Group
Senior Data Engineer
April 2024 - Today (2 years and 2 months)
Barcelona, Spain
• * Developed and implemented a corporate data catalog for the DWH project, improving visibility of data assets, business terms, models, ownership, and documentation.
• * Designed and introduced AI Spec-Driven Development for the data engineering team, making requirements, implementation, review, and documentation more structured and repeatable.
• * Built 50+ AI agents / skills for dbt development: model generation, SQL review, documentation, testing support, lineage analysis, data quality checks, naming standards, refactoring, and development guidance.
• * Developed and implemented Snowflake Semantic View together with business analysts, creating a modern semantic layer for business-facing analytics and AI-assisted interaction with data.
• * Implemented AI-based automatic documentation for dbt models, business logic, technical standards, and project knowledge.
• * Applied Git, GitHub Copilot, and AI workflows to accelerate Snowflake/dbt delivery, reduce repetitive manual work, and improve consistency.
This helped the team move from traditional DWH development to a standardized, spec-driven, AI-augmented engineering process.
SQL Microsoft Fabric Data Engineer Snowflake DBT
EPAM Systems
Lead DWH/BI developer
April 2020 - March 2024 (3 years and 11 months)
Spain
My main responsibility was to design, optimize, and support business-critical BI platforms used for financial analytics, management reporting, and decision making across the organization.
ALBO GROUP
Business Intelligence Developer
December 2019 - April 2020 (4 months)
Kyiv Oblast, Ukraine
Managing SSAS tabular project with consolidated data from the whole enterprise USED Technologies: MS SQL 2017, SSIS, SSAS, SSRS, DAX +master data management