Fernando W. Neumann
business intelligence analyst at exata intel & tech@ Exata Intel & Tech
São Paulo, Brazil
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Fernando Neumann is an IT Specialist - Development and Support Developer with over 20 years of experience. He has expertise in SQL, portal websphere, rational software architect, portlets, and software development. Based in Sao Paulo, Brazil, Fernando has worked with global teams in successful development and maintenance cases. He is also a certified IT Specialist L1 since January 2013. Fernando has worked at Exata Tech, PwC Brasil, and IBM in various technical support roles. He is known for his ability to keep systems operational, improve performance, and identify root causes.
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Emails and Phone Numbers

@exata.it
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About

IT Specialist - Development and Support Developer with experience in technologies and standards such as J2EE (Java 2 Enterprise Edition), Data Science / Big Data technologies, portlets in WPS (WebSphere Portal Server), OO (Objection Orientation), UML (Unified Modeling Language), JavaScript and XML (Extended Markup Language). Remote work experience with global teams in many successful development and maintenance cases. IBM InfoSphere Master Data Management Standard Edition technical support engineer as part of the Big Data initiative within BI / Analytics under intense worldwide customer assistance environment to keep systems operative, improve performance and identify issues and failures root causes. IBM Certified IT Specialist L1 since January 2013 recognized by the Open Group.

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Work Experience

Rua Niterói, 362, São Caetano do Sul, SP, 09510-200, BR

IT Services and IT Consulting

83
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Fernando W. Neumann's Professional Milestones

  • Websphere Commerce Developer (2013-05-01~2013-12-01): Designing and implementing efficient websites and processes, contributing to a seamless and diverse web shopping experience.
  • Analista De Business (2018-06-01~): Developed and implemented data-driven strategies to maximize profitability and drive strategic decision-making.
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Education

FIAP
FIAP

Big Data (data Science)

2017-2018
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