Technology stack: Oracle SQL, Informatica, Hadoop, Airflow, Python, Cognos BI- Consulted on the design and implementation of scalable DWH instances (STG, ODS, DM), optimizing data management and supporting core banking operations, which led to the identification and deletion of 132 legacy tables.- Developed efficient ETL processes and SQL scripts, resulting in disabling 64 legacy data streams.- Collaborated with cross-functional teams to translate complex business requirements into structured, actionable development tasks, improving reporting precision and enabling strategic insights.- Controlled development and deployment of 39 new features and business requests, reducing project delivery times and elevating client satisfaction.- Assessed and managed system change impacts, ensuring smooth business operations and minimal disruptions.- Optimized OLAP cube scripts to resolve data versioning issues, accelerating the formation of the report by 37%.- Authored comprehensive consulting documentation, facilitating knowledge transfer and supporting long-term system maintenance.

Technology stack: Python, Power BI, Power Automate, Tableau- Worked closely with cross-functional teams to capture and translate complex business requirements into clear, actionable development tasks, resulting in improved reporting accuracy and more strategic decision-making.- Developed 9 detailed BI reports, which helped to deliver valuable insights driving informed strategic decisions across the business (for example: revealed an overestimation of the contractor's KPIs and, as a result, an overpayment for services by 9%).- Managed data consolidation processes, integrating 29 diverse data sources into a single structure, enhancing data accuracy and accessibility for business (5 minutes for manager to analyze, instead of 2 days).- Developed python web parser utilities to automate data parsing enriching the BI reporting.

- Exploring business processes;- Assistance with building BI reportsTechnology stack: MS Power BI, Tableau