Experience

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  Mvftech

  Mar 2003 - Jan 2013

  Development of data integration and ETL projects in PowerCenter Development of reports and dashboards in Microstrategy Databases: Oracle, SQLServer, MySQL, Postgres Projetos de desenvolvimento de sistemas para empresas como Sistema COFEN/CORENS, Rexam, Petrobrás, Dentsply, em Delphi, C#, Java.Bancos de dados: Oracle, SQLServer, MySQL, Postgres

  • Data Integration and BI Specialist

    Jul 2009 - Jan 2013

  • Analista de desenvolvimento de software

    Mar 2003 - Jul 2009
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  Ctis tecnologia

  Jan 2013 - Nov 2015

  Data model validation, Validation and expert support of data integration projects (PowerCenter), Validation of project artifacts Main activities: Modeling multi-dimensional models, production support, building data integration processes (Pentaho), building reports and dashboards (Microstrategy)

  • Data Integration and Administration Specialist

    Aug 2014 - Nov 2015

  • Data Integration and Administration Specialist

    Jan 2013 - Aug 2014
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  Contract advisor

  Nov 2015 - Dec 2019

  Data and bi specialist consultant

  SENIOR DATA AND BI CONSULTANT | 2015-2019Leadership in digital transformation projects and data solutions for Fortune 500 companiesOUTSTANDING PROJECTS IN LARGE COMPANIES:🔹 TELECOMMUNICATIONS & MEDIA>> Vivo & Claro (2019)- Implementation of corporate data architecture- Development of strategic dashboards for business KPIs- Stack: Power BI, SQL Server, Python>> Multiplus Fidelidade (2017)- Data integration solution architecture- Optimization of ETL processes- Stack: PowerCenter, Oracle🔹 INDUSTRY & RETAIL>> Ambev (2019)- Development of end-to-end BI solution- Implementation of data quality framework- Stack: Tableau, Python, Oracle>> Oxiteno (2017-2018)- Data warehouse architecture- Data pipeline implementation, data modeling- Stack: Power BI, Oracle>> Rodobens (2019)- Implementation of analytics solutions- Development of predictive models- Stack: Power BI, Python, SQL Server🔹 FINANCE & PAYMENTS>> Cielo (2017-2018)- Development of analytical system for fraud prevention- Data pipeline implementation- Stack: Oracle, Power BI>> Atlas Quantum (2018)- BI solution architecture for crypto trading- Development of real-time indicators- Stack: Python, Oracle🔹 HEALTH & PHARMACEUTICALS>> EMS & Qualicorp (2017-2018)- Implementation of corporate data warehouse- Development of management dashboards- Stack: Microstrategy, OracleMAIN DELIVERABLES:- Architecture and implementation of data lakes and data warehouses- Development of BI and analytics solutions- Dimensional and relational modeling- Optimization of ETL processes- Construction of strategic dashboardsTECHNOLOGIES & TOOLS:- BI & Visualization: Power BI, Tableau, Looker, Microstrategy- Databases: Oracle, SQL Server, PostgreSQL- ETL & Integration: PowerCenter, SSIS, Python- Cloud: AWS (S3, RedShift, Glue, Athena)- Modeling: Power Designer, Embarcadero- Systems: Linux, Windows Server Show less

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  Sas

  Feb 2020 - Jul 2021

  Senior software developer

  Experience in implementation and customization of SAS ALM solutions (IRM, ALM, RGF), Implementation of regression tests, using SAS and running them in bash processes, Continuous Integration (CI) and Continuous Delivery (CD) processes, ensuring the delivery of high quality solutions. In addition, I provided expert support as a SAS Data Architect, collaborating with cross-functional teams to meet project objectives.

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  Sas

  Jan 2022 - Aug 2023

  Experience with implementation and customization of SAS IFRS17, SAS IRM, SAS Model Implementation PLataform and SAS Visual Analytics, SAS and Linux environment administration, log monitoring, ETL processes in SAS Data Integration.

  • SAS RTDM - SAS ESP

    Jul 2023 - Aug 2023

  • SAS Solution Specialist

    Jan 2022 - Jul 2023
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  Banco bmg

  Sept 2023 - now

  Data analytics sr

  Developing strategic data initiatives in the Funding and Treasury areas:- Development and implementation of machine learning models for predicting investor behavior, resulting in better assertiveness in retention strategies.- Architecture and implementation of data pipelines to automate critical processes- Construction of analytical dashboards to manage KPIs and support decision-making- Stack: SQL Server, QlikView, QlikSense, PythonTechnologies: Python, SQL, QlikView/Sense, Machine Learning Show less