Natalia Adamczyk

Natalia Adamczyk

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location of Natalia AdamczykPoznan, Wielkopolskie, Poland

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  • Timeline

  • About me

    Data Science Specialist at GSK

  • Education

    • Poznan University of Economics And Business

      2023 - 2025
      Master's degree Industry 4.0
    • Uniwersytet Ekonomiczny w Poznaniu

      2020 - 2023
      Licencjat (Lic.) Informatyka i ekonometria 5, Summa cum Laude
  • Experience

    • GSK

      Aug 2022 - now

      • Developing interactive Power BI dashboards and performing advanced data transformation to support decision-making. • Designing and maintaining scalable data sources in Databricks, including Delta Lake and structured streaming. • Building and orchestrating end-to-end data pipelines using Azure Data Factory and integrating with other Azure services. • Developing Generative AI applications, focusing on business use cases and innovation within the organization. • Defining and owning data engineering governance, including documentation standards, job orchestration monitoring (in Databricks and ADF), and process optimization. • Driving digital skill development by leading a community of practice focused on data innovation in finance. • Implementing CI/CD practices for data pipelines and analytics projects using Azure DevOps or GitHub. • Collaborating with stakeholders across finance, IT, and analytics to align data solutions with business goals. • Conducting training sessions or workshops on modern data tools and practices (Power BI, Azure, Databricks, AI). Show less - Power BI Development: Designed and implemented dynamic dashboards and reports in Power BI to provide actionable insights and support strategic decision-making across the organization.- Dataflow Management: Maintained and designed dataflows to ensure efficient data integration and consistency across various platforms and systems.- Automation: Utilized Python and Power Automate to streamline data collection, processing, and analysis workflows, significantly reducing manual effort and improving accuracy.- Data Source Integration: Developed and managed data sources using Azure Databricks, ensuring high data quality and availability for analytics purposes.- Cross-functional Collaboration: Worked closely with different business units to understand their data needs and delivered solutions that directly supported their operational goals.- Continuous Improvement: Actively sought new technologies and possibilities to enhance analytics capabilities and improve data-driven outcomes within the company. Show less

      • Data Science Specialist

        Aug 2024 - now
      • Data Analytics & BI Analyst

        Jan 2024 - now
      • Data Analytics Trainee

        Aug 2022 - Jan 2024
  • Licenses & Certifications