Flavio Calado

Even with prior experience in AI, Oracle products, and emerging technologies, this is where process automation reaches another level, through pipelines and workflows using tools like Oracle Fusion, n8n, Celigo, Power Automate, and Airflow, just one piece of how we use generative AI daily to boost efficiency with OCRs, sentiment analysis, LLMs that consume documentation, and bots that support our teams, and it is not just about connecting data, but delivering value and integrity to the dashboards used across all departments.

When it comes to high efficiency and security in the financial environment, this is where we manage and integrate the highest volume of data across systems using SAS, on-premise Big Data solutions, and Azure Databricks to migrate environments and develop not only dashboards but entire platforms that deliver the required level of accuracy, backed by documentation, optimal architecture, and modeled access for analysis and insights powered by SQL and PySpark scripts running in efficient pipelines.

In a highly analytical project for a popular online publisher, a cloud BI solution was built from scratch, blending Google Cloud products with AWS architecture where the ETL (AWS Glue) efficiently retrieved streaming data from AWS Athena to generate powerful insights for ad campaigns and manage the internal CRM, with visualizations primarily in Looker Studio and Amazon QuickSight, plus integrations with NetSuite Invoices and globally recognized recurring payment platforms such as Hotmart and Vindi.