Spearheaded the modernization of the company-wide data infrastructure, architecting and migrating to a scalable AWS and Snowflake stack. Led the definition, maintenance, and modernization of the Data Infrastructure (for ETL and Reporting) as well as Data Governance policies, enabling more reliable reporting across the organization. In charge of Data end-to-end Engineering and Analysis. Designing and implementing ETL processes using AWS cloud stack and Snowflake. Developed and presented a suite of executive dashboards in Quicksight, providing critical insights driving reduction in shipping costs and improving on-time delivery rates. Pioneered the company's first predictive and automated analytics initiative by developing and deploying a sales forecasting model that is optimizing inventory across all physical retail locations.

Consulted as Data Engineer for a client company located in Virginia, USA, with a main focus on designing and developing ETL processes using AWS tools, Airflow, Spark, and Scala for Big Data.

Led the development of IoT, cloud computing, and data analytics solutions for companies based in the USA. Main focus on cloud computing and data extraction, transformation, and load pipelines using Microsoft Azure and AWS tools. Scrum Master.

In charge of backend engineering of web and mobile applications/databases. Responsible for developing AR/VR modules for over 20 interactive applications.