I worked extensively with a range of technologies and tools, including Python, SQL, Azure Data Studio, Azure Data Factory, Azure Data Storage, Linux, Shell, SourceTree, Databricks, Azure Fabric, and Tableau Server and Cloud. Some key responsibilities and achievements include:Developed and maintained scalable data pipelines to support ETL/ELT processes, ensuring efficient data availability and reliability.Collaborated with cross-functional teams to understand and implement data requirements, while designing optimized data models.Spearheaded the migration of data sources, workbooks, users, and views in Tableau by building a robust and automated process in Python, ensuring seamless transitions and minimal downtime.Conducted thorough testing on dashboards and data visualizations to ensure accuracy, consistency, and usability, enhancing user experience and decision-making.Addressed and resolved data-related issues, including data quality and transformation challenges, ensuring consistency across systems.Implemented secure data management practices to safeguard sensitive information and maintain compliance.Utilized Azure Data Factory, Azure Data Storage, and Azure Fabric to design and orchestrate scalable data workflows.Regularly performed data analysis to extract actionable insights, supporting strategic business decisions.Created interactive dashboards and visualizations, presenting complex data clearly to a wide audience.Maintained high-quality documentation for data pipelines and processes, ensuring clarity and ease of maintenance for future projects.Continuously explored and applied new tools and methodologies to improve data engineering processes and enhance team productivity.

Prácticas laborales en Bioplantas Cuba como data analyst-etiquetando datasets moleculares y limpiando los datos para el préprocesamiento.