João Paulo Iannone Macari

Led full data platform assessment, mapping 300+ datasets across data lake and data warehouse layers. Restructured data architecture in Snowflake using RAW, TRUSTED, and curated layers.

• Led full data platform assessment, mapping 300+ datasets across data lake and data warehouse layers
• Restructured data architecture in Snowflake using RAW, TRUSTED, and curated layers (fact and dimension models)
• Identified and resolved critical data issues, including duplication and inefficient full-load ingestion patterns
• Designed cost optimization strategies by shifting heavy transformati

Working as a Data Engineer in a large-scale financial environment, focused on modernizing legacy data systems, building scalable cloud-based pipelines, and improving data reliability and operational efficiency across critical business domains.

• Led modernization of legacy SAS-based pipelines to AWS using Glue (PySpark), S3, and event-driven architectures
• Delivered 15+ production-grade data pip

• Built and deployed 13+ credit decision engines using FICO Decision Management Platform, automating manual credit approval processes
• Designed data-driven rule systems to support scalable and consistent financial decision-making
• Led end-to-end implementation of credit policies, from parametrization to production deployment
• Rebuilt validation framework using Python and FICO execution layers,

• Developed data processing workflows using Python, SQL, and SAS for financial data analysis and operations
• Built integrations using REST APIs to enable data exchange across systems
• Used Amazon Athena for data querying and QuickSight for analytical reporting
• Supported credit analysis processes with data-driven insights and reporting
• Contributed to improving data workflows and operational e

• Developed financial data analysis tools for trading signals using Pinescript and MQL5
• Applied technical indicators (RSI, Fibonacci) to generate automated buy/sell signals
• Worked with real-time financial data for analysis and decision support

• Performed data analysis using Excel, SQL, and SAS to support credit decision processes
• Built reports and dashboards to improve visibility into financial data
• Explored large datasets to identify patterns and support business decision-making
• Contributed to process improvements through data-driven insights

Pursued studies in Computer and Information Sciences and Support Services.

Incompleto

Studied Computer Engineering, but the program was not completed.