• Data lake structuring in AWS environment, following the bronze, silver, and gold layer pattern. Ingestion and integration of data from various sources such as APIs, relational, and non-relational databases. Development and maintenance of dozens of jobs in PySpark with AWS Glue. Creation of 10+ Power BI dashboards for daily tracking of operational efficiency. The new data architecture replaced manual extraction processes, providing the foundation for building a robust analytics operation within the client. The automated pipeline delivers data every 30 minutes, enabling intra-hour visibility for over 100 people across operational and commercial teams.• Data modeling using PySpark and SQL in a Databricks environment, creating views and tables to be consumed in the visualization layer and generate business insights for a team of over 50 sales managers across Brazil.• Creation of dashboards in Power BI, applying Row-Level Security (RLS) to segment data visualization by region, ensuring that each manager accessed only the information related to their respective units. The automation replaced the old process of manual Excel reports, which used to take around 4 hours to complete, resulting in time savings and operational efficiency.• Development of web crawlers in Python to capture public data from the web. Structured a database to support pricing and brand positioning decisions on the internet. Built dashboards in Tableau to generate business insights and expand the presence of a veterinary pharmaceutical company’s products in Brazil.• Continuous development of ad hoc analyses using Python, SQL, and visualization tools such as Metabase, Power BI, and Tableau.• Implementation of segmentation techniques such as K-means, DBSCAN, and PCA to analyze a database of over 130,000 active users, providing visibility into customer engagement and interaction profiles with support channels (web platform, telephony, and WhatsApp).

• Data ingestion and processing in a GCP environment, using tools such as Dataflow, Airflow, BigQuery, and Vertex AI (for streaming data ingestion). Built views in Looker, providing visibility into incidents across dozens of stations throughout Brazil, with real-time data delivery. • Development of analytical dashboards in Looker and KPIs focused on marketing strategies and campaigns. • Data migration from a Hadoop environment to Azure. Built and improved dashboards in Tableau using data migrated to Azure Synapse Analytics. The solution provided greater agility and availability of information for decision-making by the credit team of a major bank. • Implementation of ETL practices in a Databricks environment. Prototyping and development of management dashboards in Power BI for a financial sector client, allowing greater visibility into their clients' credit operations, seasonal variations, customer retention, and commercial performance.

- Backend development using Typescript, Javascript, Node, PostgresSQL, and Docker Containers.- Support in financial activities of the company, such as payment control, reimbursements, invoice issuance, etc.- Requirement gathering and improvements related to the financial and budget planning of the company.- Support in reviewing and implementing improvements related to contract preparation.- Project scope construction and backlog development.- Meetings with clients for proposal presentation and requirement gathering.