The project is based on the construction of data models on Hortonworks in AWS and Oracle On Premise, as well as the parameterization and execution of statistical models, business rules and reports in SAS Institute solutions

The project is based on the construction of data models in Big Data and Cloud technologies (GCP), to make the information available for the different analytical (Python, R, SAS) and reporting tools (Tableau and Power BI) used by the area. In search of migrate analytical process and reporting to GCP.

Migration of all analytical and data integration processes in the adquisition of Citibank portfolio.

Lead the migration of 85 analitical processes, create a new data model that would responds to the needs arising from the adquisition anf future analyzes.

Responsible for information gathering, design, project management, technical data governance and supplier selection.

Support the migration of corporate analytics to the new technologies acquired by the organization, based on cloud tools (Azure). Additionally support the improvements of the local analytical platform based on Oracle, SAS, Tableau, R and Python.

The projects are focused on making information available in an efficient and centralized way, based on self-service for business users; as well as support the parameterization and execution of statistical models, data movement processes and reports.