Nikita Volodarskiy

Led BI Discovery for a Databricks-based data platform unifying 13 workstreams into a single source of truth for Tableau. Defined roadmap (milestones → epics → stories), documented requirements in Confluence, and drove estimation and planning. Owned backlog and Scrum delivery for MSSQL → Databricks migration: defined DQ and release standards, guided DMS + PySpark pipelines, lead the team of 6 Data Engineers and translated business needs into actionable user stories and data requirements.

Data Governance – Built governance to boost KPI trust & cut incidents. Defined DQ framework, rules, profiling, incidents; implemented Talend checks, alerts; set lineage & ownership; reported DQ. Value: Higher KPI confidence, fewer incidents, faster iteration. Tech: Talend OS, SQL, Azure DevOps, MS SQL. Data Analytics – Supported GCP migration: optimized PySpark → BigQuery, moved pipelines & dashboards (Grafana→Looker), validated data & SLAs. Value: Enabled cloud scale, faster insights, lower maintenance.

Risk and regulatory reporting for banks; antifraud analytics; built a Data Quality module for an insurance DWH from scratch. Led pre-sales and discovery with risk, finance, and IT; designed solutions, documentation, and demos; collaborated with engineering on Hadoop/Oracle delivery; mentored analysts. Delivered value by optimizing capital reserves via LGD/PD models, reducing fraud losses through precise detection, and cutting reprocessing costs with targeted DQ controls.

DWH projects for tier-1 banks and insurers in reporting, risk, and customer analytics. Gathered requirements, wrote specs for HiveQL/PySpark, managed delivery, testing, and UAT, and supported hiring and mentoring. Delivered market analytics reports enabling faster decisions and migrated an insurance DWH from legacy to Greenplum, cutting costs and boosting performance and scalability for growing data needs.

English-taught Master's programme which aims to train highly qualified specialists in data science, who are able to solve data analysis problems, work with machine learning models and data collection infrastructures, develop effective problem-solving algorithms, and conduct research in areas connected with data analysis. The programme is distinguished by its emphasis on hands-on, project-based training.

Courses: - Systems Analysis and Design - Management Information Systems - Decision Support Systems&Business Modelling - ERP and Business Intelligence Systems - Business Plan

The Business Informatics Bachelor’s programme is aimed at training professionals in the development and use of information systems and technologies in business. It educates students in the fields of informatics, economics and management. Graduates will be employable in sectors of IT where demand for specialists is at its highest: system architects, system integrators, business analysts, IT managers, IT consultants, IT project managers, sales and business development specialists.