Development of data engineering, handling large volumes of information (Big Data), and advanced data analysis.Specialized in the design, construction, and maintenance of efficient and scalable data pipelines, with advanced proficiency in Python for data manipulation, transformation, and analysis. Design and implementation of ETL/ELT pipelines in on-premise or cloud environments. Use of tools such as Apache Airflow, Luigi, DBT, Talend, or Azure Data Factory. Development of chatbot and agent systems, generation of synthetic data to train models, code optimization for Machine Learning processes, and deployment of inference solutions in the cloud. Conducting statistical and exploratory data analysis. Visualization using tools such as Power BI, Tableau, Plotly, or Matplotlib.