Angular Developer & BI Analyst & DWH Developer & Data Engineer & Data Modeler & Python Developer

Experienced Senior BI Developer and Architect with over 15 years in Analytics and IT, working on BI projects in various industries. Skilled in stakeholder management and working in international teams. Proficient in project management, budgeting, and development vs. maintenance. Hands-on experience with BI tools, data structuring, and visualization. Strong technical skills in SQL, Python, and various databases. Seeking recognition, clear motivation, and freedom in implementation for better results. Native in Ukrainian, fluent in English, and basic knowledge of Czech. Passionate about virtualization, infrastructure, and IoT.

Sep ‘19 – till now

• Handling ongoing business requests. • Developing Qlik Sense mash-ups and extensions using JavaScript. • Supporting migration from QlikView to Qlik Sense. • Developing and supporting ETL processes using Python and SQL. • Implementing Selenium Framework for caching and testing Qlik Sense applications. • Automating DevOps processes through internal tool development. • Onboarding and adopting Version Control System. • Solving specific analytical tasks.

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Jun ‘16 – Aug ‘19

• Identifying business users' needs. • Defining main dimensions and metrics and agreeing on KPI calculation methodology. • Agreeing on dashboard templates and general visualization objects. • Defining data sources and adapting them to QlikView data model. • Developing dashboards based on customer requirements. • Supporting ETL processes and QlikView environment. • Adapting existing dashboards to changes in business requirements. • Implementing and supporting reporting. • Automating basic report creation processes. • Solving specific analytical tasks.

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Sep ‘13 - May ‘16

• Creating analytical environments using QlikView. • Designing data models and consolidating data from different sources. • Creating data warehouses and populating them according to the QlikView data model. • Developing data transformation, actualization, updating, and cleaning processes. • Implementing models based on management levels and functional responsibilities. • Adapting models to meet business users' requirements. • Automating basic report creation processes.