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

Erfahrener Senior BI-Entwickler und -Architekt mit mehr als 15 Jahren Erfahrung im Bereich Analytik und IT, der an BI-Projekten in verschiedenen Branchen gearbeitet hat. Kompetent im Stakeholder-Management und in der Arbeit in internationalen Teams. Kompetent in Projektmanagement, Budgetierung und Entwicklung vs. Wartung. Praktische Erfahrung mit BI-Tools, Datenstrukturierung und -visualisierung. Gute technische Kenntnisse in SQL, Python und verschiedenen Datenbanken. Strebt nach Anerkennung, klarer Motivation und Freiheit bei der Umsetzung für bessere Ergebnisse. Ukrainische Muttersprache, fließend in Englisch und Grundkenntnisse in Tschechisch. Leidenschaftlich für Virtualisierung, Infrastruktur und 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.