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Report abuse15+ years in IT · Data Engineering · DWH · AI Agent Engineering · BI · Moscow
I design and build data platforms, warehouse pipelines, and AI-powered tooling that turn raw data into trusted decisions. My path started in enterprise BI consulting — Oracle Hyperion, QlikView, financial planning systems — then evolved through modern data stacks into DWH architecture and, most recently, into production AI agents that understand warehouse metadata and generate SQL from natural language.
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Data Engineering Batch pipelines, multi-layer DWH modeling, ETL/ELT orchestration with Airflow and dbt, query optimization, data quality, and reliable data products for finance, product, and operations. |
AI Agent Engineering RAG-based agents for DWH: metadata indexing, table relationship graphs, natural language to SQL, LLM integration with Claude and open-source models, vector DB pipelines. |
Analytics Enablement Bridging platform and business: data marts, BI tooling (Superset, DataLens, Qlik, Grafana), observability dashboards, C-level reporting, and cross-functional collaboration. |
At Ozon Tech (Nov 2024 – present) as Senior DWH Developer:
sources → ingestion → orchestration → DWH / lakehouse → marts → BI / AI agents
| Period | Company | Role |
|---|---|---|
| Nov 2024 – present | Ozon Tech | Senior DWH Developer |
| Dec 2023 – Nov 2024 | eapteka.ru | TeamLead BI & Acting DWH TeamLead |
| Aug 2020 – Nov 2023 | TheSoul Publishing (Cyprus) | Senior BI Developer |
| May 2017 – Jul 2020 | Luding | Leading Business Analyst – QlikView |
| Nov 2014 – May 2017 | Dixy | Oracle Hyperion & QlikView Consultant |
| Sep 2013 – Nov 2014 | АльфаСтрахование | Systems Analyst – Hyperion Planning |
| Oct 2011 – Aug 2013 | Glowbyte Consulting | Financial Solutions Consultant |
Ozon Tech — Developed a RAG-based AI agent integrating DWH metadata and automatic SQL generation; built Grafana ETL monitoring with full domain coverage; optimized and migrated Vertica → Trino.
еАптека — Led BigQuery → Yandex Cloud migration, rebuilt pipelines with ClickHouse + Airflow + dbt; C-level dashboards for sales and product analytics; hired and onboarded new team members.
TheSoul Publishing — Deployed Apache Superset as a Qlik replacement (significant licence cost reduction); built plan-vs-fact automation saving 90% of reporting time; 3-layer Facebook API ETL pipeline; custom Superset plugins in React/TypeScript.
Luding — Sales funnel analysis, multi-API PHP extractors, C# Windows Service for NPrinting; awarded Best Employee Q4 2019.
Data Engineering & Orchestration
Databases & DWH
AI & LLM
BI & Visualization
Infrastructure
DWH Modeling
Data Vault 2.0 · Anchor Modeling · Kimball
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AI Agent for DWH (RAG) Ozon Tech, 2025 RAG system integrating DWH metadata, table relationships, and automatic SQL generation from natural language. Stack: Python, LLM (Claude), VectorDB, Trino. |
ETL Monitoring Dashboard Ozon Tech, 2025 Grafana dashboards providing 100% coverage of DWH domain failure points and pipeline status across all batch workflows. |
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BigQuery → Yandex Cloud Migration еАптека, 2024 End-to-end cloud migration with pipeline rebuild on ClickHouse + Airflow + dbt. Included team training and DataLens performance fixes. |
Plan-vs-Fact Automation TheSoul Publishing, 2021 Reporting automation that reduced preparation time by 90%. Integrated with multiple data sources. |
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Apache Superset Implementation TheSoul Publishing, 2021 Selected and deployed Superset as a Qlik replacement. Built custom React/TypeScript plugins, GitLab CI/CD automation, and team onboarding. |
Facebook API ETL Pipeline TheSoul Publishing, 2020 3-layer DataLake architecture (raw → staging → marts) with daily updates for social media analytics. |
Bauman Moscow State Technical University (2006–2012)
Engineer — Automation of Technological Processes and Production
2025 (in progress)
2024
2023
2018
Тестовый проект по Trino + Iceberg + Rest Catalog + Minio s3
This GitHub repository offers a Docker Compose configuration for easy deployment and management of ClickHouse clusters.
Пример Data Vault 2.0 для PostgreSQL
PLpgSQL
Python Algorithms for Data Engineers | Алгоритмы Python для инженеров данных. Этот репозиторий содержит коллекцию Jupyter notebooks, с решениями различных алгоритмических задач. Notebooks собраны с…
Jupyter Notebook
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