Can Demir

Data Engineer | Business Intelligence Expert | Data Analyst

Breda, North Brabant, Netherlands

About

I have +7 years of experience related to Business Intelligence / Data Analytics. During these years, I had hands on experience Microsoft BI Stack ; *Power BI *SSRS *SSIS *SSAS *SQL Server 12 / 16 / 17 / 18 *Data Lake , Data Lake Analytics *Stream Analytics and also SAP BI Tools (BW - BO - Cloud Analytics). I managed to get a lot of opportunities by managing 6 employees in a company developing projects with agile project management standards and I had several opportunities to improve my different skills. Also I completed a program about Big Data Analytics and Management. In this program, I learnt about Cloud Computing Technologies (Amazon AWS), Big Data Environments (Cloudera, Spark), Machine Learning (Python, R) and applied these skills to my current job. Skilled in Analytical Skills,Project Management,Business Intelligence, Fashion Retail,E commerce, Automotive, Enterprise Resource Planning (ERP) and Dealer Management.

Experience

  • Senior Data Engineer at ERIKS
    Sep 2022 - Present · 3 yrs 11 mos

  • Bosch Transmission Technology B.V. (Tilburg, North Brabant, Netherlands)
    • Senior Data Engineer
      Jan 2022 - Aug 2022 · 8 mos

    • Data Engineering Consultant
      Mar 2021 - Jan 2022 · 11 mos

  • Data Engineering Consultant | Employeneur at TMC
    Mar 2021 - Jan 2022 · 11 mos

  • Senior Data Engineer at Caldic
    Sep 2020 - Mar 2021 · 7 mos

  • BI & Analytics Manager at Boyner Grup
    May 2018 - Apr 2020 · 2 yrs

    Playing a leading role in Business Intelligence, Data Architecture and Data Visualization projects in Digital Solutions department of R&D center. Key contributions are; Designing analytics architecture on Microsoft Azure, Implementing advanced data analytic solutions on cloud pipelines with technologies like Data Lake,Data Factory, Machine Learning Services, and Database technologies, Data visualization solutions using SQL and DAX on Power BI and SSRS platforms. Designing data flow pipelines to serve web apps, Data ingestion solutions to serve real-time, near real-time, or on-demand reporting.