• Optimization of data pipelines for critical processes such as payroll processing using Databricks, improving processing reliability and efficiency. • Implementation and management of pipelines on Amazon S3, integrating AWS Glue for data transformation and cataloging. • Enablement of dynamic reports in Power BI with near real-time latency, ensuring consistent and up-to-date information.

• Implementation of ETL processes orchestrated with Apache Airflow for financial accounting, reducing execution times from 2 days to 2 hours.

• Development of ETL pipelines for data collection and dynamic reporting in Power BI for retail stores, supporting KPI-driven decision-making. • Orchestration of data workflows with Apache Airflow, integrating multiple formats and communication channels within the retail environment.

• Standardization of databases using advanced regular expressions, increasing data consistency and quality by approximately 90%.

• Designed and executed ETL processes integrating data from Excel files, CSVs, and databases, generating analytical reports to support research projects. • Developed ETL pipelines orchestrated with Apache Airflow for Natural Language Processing (NLP) solutions, incorporating regular expressions and Google Drive APIs as a central repository under a medallion architecture.

• Implemented a cloud-based web application for the standardization and automated evaluation of sustainability-related texts, providing structured feedback and significantly reducing manual operational workload.