Contributed to the development, construction, and supervision of data processing systems. - Created pipelines for the ingestion and consolidation of sales and stock data from over 30 different sources, performing tests and generating automated reports. Reducing the processing time from weeks to hours. - Implemented and managed a relational database with the sales and stock historical data spanning over 7 years, enabling new insights for the clients. - Engaged on structuring data for the consumption and encapsulation of predictive models, treating and implementing business rules to the model outputs. - Participated in multiple projects with prominent companies, including multinational teams.Technologies used:Python (Pandas, Polars, others)AWS (S3, EC2, Lambda, RDS )Azure (BlobStorage, Data Factory, PowerAutomate)Snowflake, PostgreSQL

Assisted in management and maintaining of large scale data processing pipelines - Implemented versioning for the data utilized in training Machine Learning models through the use of DVC (Data Version Control). - Contributed in the refactoring of ETL and processing mechanisms.Technologies used:Python (Pandas, Scikit-learn, others)AWS (S3, EC2 )