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Naples
Roumen Novakov

Roumen Novakov

Solutions Eng, Bus. Analyst, FileMaker Developer

Technology / Internet

Naples, Collier

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Services offered

Versatile IT professional with extensive experience supporting business systems, migrations, processes, and workflows.

A results-driven analyst with expertise in managing systems, resolving technical issues, optimizing processes, and leading system testing and user support initiatives. Proven success in enhancing Digital Asset Management (DAM) operations, implementing metadata updates, refining security policies, and integrating editorial tools. Adept at leveraging programming and scripting to automate workflows and boost user productivity. Strong background in database design, ETL workflows, AWS cloud infrastructure, and quality assurance practices. Experienced in collaborating with cross-functional teams, fostering vendor partnerships, and translating business needs into actionable technical solutions. Proficient in Agile methodologies and ITIL processes to ensure alignment with best practices.

Approximate rate: USD$ 75 per hour

Experience

  • Spearheaded the enterprise-wide transformation  of the Digital Asset Management (DAM), integrating additional business units, enabling international collaboration, , while optimizing metadata and security configurations.
  • Designed and implemented a Managed File Transfer (MFT) solution to enhance content delivery, reducing inefficiencies across global workflows.
  • Delivered process improvements across production operations, recipe development, editorial metadata management, web content planning, content archival, and print catalog automation.
  • Developed and implemented an Editorial Management System (EMS), consolidating isolated workflows into a single, unified platform (solution), significantly streamlining editorial processes.

Education

Bachelor of Science in Computer Science

City College of New York, New York

Certifications:

  • Claris FileMaker Pro Expert
  • Atlassian Jira Fundamentals & Advanced (Udemy)
  • Data Analysis with Python (Coursera)

 

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