I raised the BI department from scratch, designing and implementing the ETL process from de AWS database to the different reports for all the departments, using mysql language, also create and maintain the ETL pipelines and ensure the performance of the databases, in this company i managed about 1 million of rows daily, and i had information since 2019, so i'm comfortable management large datasets and turn this information into tangible solutions

Reduce time of the decision making, from the CEO to all the leaders of the departments in a 90%, having information in real time for every one of the processes: general direction, people, commercial teams, TI, operations and finance.

I raised the BI department from scratch, designing and implementing the ETL process from the AWS database to the different reports for all the departments using PostgresSQL, with this transformation of the info and sharing it into dynamic reports, the CEO of this startup was able to create a commercial team with clear metrics and indicators.

Implementing goals system that allows the company to create a solid commercial team from zero oriented by data.

Here as a BI analyst, i had the oportunity to extract and build datamodels using mysql and share the insights in qlik view, in this rol i was very joined with financial team, cause we use the information that we extract to make forecast of the new business that the company gets, and decide if they were viable or not.

Forecast the demand for 4 income new business that allows the company to gain the tender for this business