Alvaro S.

I am a consultant specialized in Data & AI, with experience designing and implementing data engineering, advanced analytics, and machine learning solutions in cloud environments. My work focuses on helping companies build robust data platforms that transform large volumes of information into useful business knowledge. To do this, I use technologies such as Snowflake, dbt, AWS, Python, and SQL, developing scalable data pipelines, analytical models, and transformation processes. Currently, I am part of an international project for Boehringer Ingelheim, where I participate in the development of a cloud data platform for the pharmaceutical sector, working with dbt, Snowflake, and AWS to optimize data integration, transformation, and exploitation processes. Throughout my career, I have collaborated on projects related to: Data engineering and transformation (ELT/ETL). Data modeling and solution development in Snowflake. Implementation of projects with dbt and cloud architectures on AWS. Predictive models and machine learning solutions. Dashboard and indicator development with Power BI and Python. Process automation and data-driven optimization. Technical advice and support in digital transformation initiatives. I like to combine a technical vision with a clear business orientation, always seeking simple, scalable, and maintainable solutions that provide value from the outset. I am available to collaborate on consulting projects, data solutions development, artificial intelligence, and data engineering, both on a project basis and for long-term collaborations.