- Processing, structuring and making data available in the cloud (Microsoft Azure) using Azure Data Lake, Databricks, Spark, Python and SQL;- Data ingestion using ELT with cloud tools;- Data analysis using Python and SQL.- Job orchestration using Databricks Workflows and Azure Data Factory;- Experience with Azure platform for data ingestion, storage and resource management;- Concepts of data governance strategies such as Data Mesh to optimize and organize the Datalake.

- Developing projects for process automation using RPA tools (Automation Anywhere/Catalytic);- Migrating and maintaining tables and data in Excel and SQL Databases;- Transforming and manipulating data using ETL tools (Alteryx);- Gathering requirements for the development of new bots;- Monitoring projects involving programming languages (Python/SQL);- Developing and maintaining dashboards using data visualization tools (Power BI).

- Creating and maintaining dashboards using data visualization tools (Tableau);- Developing projects utilizing programming languages such as Python and SQL;- Assessement of requirements and potential risks for systems and reports;- Researching and analyzing information with users to improve system usability;- Knowledge of operational processes in the energy sector;- Managing and addressing request and incident queue through Microsoft CRM;- Monitoring data migration with ETL tools (Alteryx).