Leading the Data Team, the goal is to transform the current BI team into a Data Products team. Finishing the first product, the Data Lakehouse that I started developing within the team in 2022 will allow us to offer to customers a new BI exports, dashboarding and reporting tool. Next steps will include Data Analytics and Machine Learning as well

Continuing the work I started in my previous company where I created the proposal for the new BI architecture for QuandaGo, I committed to develop the Data Lakehouse and lead the project as a PO

-In collaboration with a team, I worked in the development of the storage in AWS for our product. Using S3 bucket, Lambda functions, API gateway, PostgresSQL and SQL database modeler-I was responsible for the proposal of the new BI architecture of QuandaGo. I designed different options and proposed the recommendation.

At Heroes I worked in the development of an app for the company in Azure with Power Apps and Apps Automate. During this time I also worked in the development of a new business idea for the company, based on the industrialization of data migration.

I was mainly focused on the migration of the Hyundai Bank into the Data Lake in Germany. The project included different parts, such us:-Migration and preparation of the environment to perform new intakes in the data lake, using tools like Data Factory, Hive, SQL, Hadoop..-Extracting data, data storing, transformation…-Requirements (metadata, files, scripts, testing)-Deployment and automation of jobs in Control M-Monitoring, maintenance and support-3rd party software deployment in the data lake-Dashboarding

-Petroleum-ochemical catalysis (PCI) -Research project whose study aimed to use MOFs as drug liberators