• Leverage dbt and Airflow to orchestrate data processing workflows within a SQL Server data warehouse, ensuring efficient and reliable data operations.• Develop and maintain CI/CD pipelines using GitLab, Docker, and other tools for seamless code deployment, enabling rapid iteration and continuous integration.• Manage cloud infrastructure hosted on Open Telecom Cloud, contributing to the architecture, configuration, and maintenance of scalable and secure data solutions.• Build standalone Python apps, implement tests and checks to ensure data quality, accuracy, and integrity across the data pipeline.

• Designed, developed, and maintained scalable and efficient data warehouse architecture to support business intelligence, analytics, and data science needs.• Implemented data modeling techniques to ensure optimal storage and retrieval of data.• Created, optimized, and managed ETL processes with Airflow and dbt to efficiently transfer data from source systems to the data warehouse.• Led multiple data science projects focusing on data forecasting, natural language processing (NLP), and image recognition.• Built end-to-end machine learning pipelines, including data preprocessing, model deployment, and results monitoring.• Developed user interfaces for interacting with machine learning models.• Created Python applications tailored for data processing and analysis (plotly dash, streamlit).• Ensured data quality and integrity through the implementation of data cleansing, validation, and enrichment procedures.• Designed and developed interactive management reports and dashboards using Power BI.• Collaborated with business stakeholders to understand reporting requirements and translate them into actionable insights.

• Develop ETL pipelines and data marts using Big Data tools (Hadoop, Spark, Hive).• Improve existing solutions and optimize the code.• Communicate with business stakeholders to analyze the business requirements and explore the data sources.• Update the team's knowledge base in Confluence.

• Own and maintain all internal and VTB Group credit risk reports and presentations (including Risk Appetite Statement, Economic Risk Capital Report, Monthly Statement of London, Moscow and Zug offices credit risks, multiple daily reports). • Created and automated multiple credit risk reports using VBA programming language and SQL.• Administrate credit risk system (FIS Adaptiv Credit Risk), ensuring that all credit exposure is duly captured and reported to senior management.• Played one of the key roles in FIS Adaptiv Credit Risk upgrade project (from version 2010 to 2020): formulated requirements, complied test scenarios, participated in Preview, UAT and Go Live stages identifying and fixing system issues. • Assist senior manager in review of structured trades and new products.• Work closely with Quantitative Risk and IT teams on automation of the risk reports and data quality improvement.• Carry out ad-hoc credit analysis of counterparties (non-bank financial institutions).

• Prepared regular sales reports and presentations for senior management and for bank branch network.• Set sales targets and assessed employees’ performance.• Analyzed bank’s deposit and loan portfolio, and made liquidity forecasts.• Created several automated reports based on VBA, which significantly reduced time spent on sales and performance analysis.

• Provided cooperation between the Bank of Russia and international organizations (Financial Stability Board (FSB), Bank of International Settlements (BIS), International Monetary Fund (IMF), G20) and other countries’ central banks on financial stability issues. • Prepared informational and position papers on problems discussed at international meetings for Bank’s senior managers.• Prepared analytical papers for BIS bimonthly meetings, presented on behalf of the Bank of Russia.• Coordinated 2014 FSB Peer Review of Russian financial sector.• Arranged and participated in several international meetings and seminars.