Data Engineer

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Data Engineer
ID : 1025
Education level  : Bachelor's degree
Work experience level  : Beginner- (internship- 1 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-11-23
Profile description
Work experience In details :
Job position
Job description

Data Engineering Intern - MillenniumIT ESP -  (August 2021 – May 2022)

  • Analyzed and recommended options for improving existing data warehouse, reporting and data visualization(dashboards) methodologies.
  • Collaborated with the client’s technical team and senior management team to gather technical requirements and to clarify subject matters.
  • Produced wireframes and user stories and documented a full project proposal and aided in documenting another project proposal.
  • Facilitated design and migration of new data warehouse and the existing QlikView dashboards by converting
    them to QlikSense dashboards with no impact on business operations.
  • Designed and developed new QlikSense dashboards.
  • Assisted in conducting a comparison analysis of features and functionalities between the two systems.
  • Functioned as a subject matter expert from the requirements definition effort to the implementation by
    maintaining clarity on the project on both sides.
Hard skills
  • Data Warehousing
  • Business Intelligence
  • Dashboard Development
  • Data Analytics
  • Programming
Soft skills
  • Excellent Interpersonal Skills
  • Accountable
  • Creative
  • Self – learning
  • Self - motivated
  • Problem-solving
Achievements
  • IBM
    • Data Science Professional Certificate June 2021
  • WomenTech Network (Global Ambassador Jan 2021 – Present)
    • Collaborated with 100+ professionals to educate 200+ attendees on latest technological trends.
    • Made awareness on the importance of bringing out potential in neuro-divergent individuals
  • SLIIT Data Science Student Community (Member of Career Development Team Jul 2021 – June 2022)
    • Coordinated 3 events with team members regarding creating CVs, cover letters and optimizing LinkedIn profiles.
    • Moderated technical talk events
Special notes

Data Warehousing, Business Intelligence, Dashboard Development, Data Analytics, Programming, Interests: Business Operations, Analytics, Machine Learning, NLP, Research, Content writing, Awards: Dean’s List

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