Leading enterprise-scale Data Platform modernization initiatives, enabling the migration of multi-cloud ingestion ecosystems to the Databricks Lakehouse Platform while establishing a scalable foundation for analytics and AI workloads. Driving large-scale architectural transformations involving Delta Lake adoption, Delta Lake Universal Format (UniForm), and cross-platform interoperability strategies to increase flexibility, governance, and long-term sustainability. Reduced analytical platform costs by approximately 60% through workload optimization, platform consolidation, and strategic migration from legacy analytical environments to Databricks Delta architectures. Designed and delivered cloud-native ELT/ETL frameworks that automate data ingestion, transformation, governance, and analytics consumption across distributed enterprise environments. Developed production-grade Agentic AI solutions leveraging CrewAI and foundation models, implementing intelligent multi-agent architectures to automate complex workflows and support advanced analytics initiatives. Architected real-time observability and governance solutions for Microsoft Fabric, enabling proactive capacity management, platform monitoring, anomaly detection, and cost optimization. Built event-driven audit and monitoring architectures capable of processing enterprise activity streams in real time, improving operational visibility, reliability, and governance across critical data platforms.

Led strategic data modernization initiatives across enterprise banking environments, integrating legacy platforms and cloud-native data sources into scalable analytical ecosystems. Accelerated digital transformation programs by modernizing ingestion architectures and supporting large-scale cloud migration initiatives. Reduced manual operational effort by approximately 80% through process automation, improving engineering productivity and platform reliability. Designed and governed enterprise bronze-layer architectures across hybrid infrastructures, ensuring compliance with data governance, quality, and availability standards. Enabled modernization of downstream analytics ecosystems supporting business intelligence, reporting, and decision-making capabilities across multiple organizational domains. Automated engineering workflows and delivery processes through API-driven integrations, improving operational efficiency and Agile execution.

Architected enterprise-scale ELT/ETL pipelines leveraging cloud infrastructure to support regulatory compliance and financial intelligence workflows. Designed fraud detection AI models collaborating with governance teams, applying statistical rigor to asset protection strategies. Automated data workflows using Python, establishing scalable analytics infrastructure with Power BI for risk pattern identification. Engineered multi-source data integration ensuring compliance, security, and data governance across sensitive financial datasets.

Led platform adoption strategy maximizing in-store AI solution value and operational performance across retail ecosystems, designing agile experimentation framework for solution validation with rigorous statistical methodologies (ANOVA, DOE). Architected data-driven decision frameworks bridging technical and business strategy for retail optimization. Coordinated cross-functional teams (IT, finance, operations) across major retail networks ensuring technical-operational alignment.

Led platform implementation across enterprise retail accounts (Casas Bahia, Pontofrio, Walmart Brasil, Magazine Luiza). Designed advanced BI platforms and automated analytics workflows using Python, Dash, Google Data Studio, and Power BI. Built data pipelines with SQL, performing extraction and transformation for consumer behavior analytics. Established KPI monitoring infrastructure and validated platform impact through quantitative assessments.