Possessing over 20 years of expertise in corporate services, government roles, and consultancy, the individual has notably excelled in various aspects of business and technology. This includes a managerial role spanning six years, overseeing both direct and indirect leadership of operational teams, combined with a decade of consultancy experience, managing dynamic, multidisciplinary teams across multiple countries.Holding an MBA in Management Information Technology, the individual is proficient in both English and Spanish. A significant portion of their career has been dedicated to data engineering and data governance, specifically utilizing Microsoft Cloud Services. This period encompasses over three years of rigorous work with platforms such as Azure Data Platform, SharePoint, Power Platform, Office 365, and Power BI.Key achievements from the past three years include the design and development of a comprehensive data product for a major telecom company, involving SQL Server, star schema data models, ETL processes, and Power BI for data visualization and performance optimization. Another notable project involved designing data governance processes and supporting data architecture transformation for a leading international health company, achieving advanced DataOps capabilities with automated CI/CD data pipelines on an Azure platform.The individual also successfully conducted a Data Governance Maturity Assessment for a financial services startup in Brazil and Latin America, guided by the DAMA DMBoK framework. They developed and coordinated a data governance maturity improvement plan, significantly enhancing various KPIs and elevating the company's maturity score from 19 to 88 within 17 months as per the parent company's criteria.Additionally, the individual developed a multilingual Power BI report for a custom Document Management system in the oil sector, integrating data from SharePoint and Dataverse. Furthermore, they created an online Azure Purview course consisting of 15 video lectures in Portuguese, demonstrating resource building from scratch to data asset curation, including a chapter on data ingestion and transformation using Azure Data Factory.
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