Vitória, Brazil · Italian / EU citizen
Eligible to work in the European Union · Open to remote and international opportunities

I design, scale, and operate dependable data platforms — from architecture and infrastructure to delivery, observability, and production recovery.

22+ countries · 50M+ records/day · 100K+ users impacted
99.9% reliability · ~35% faster runtime · ~20% lower infrastructure cost

Senior Data and Platform Engineer with 10+ years building production data and software systems and 4+ years specializing in Azure Databricks, distributed data platforms, Infrastructure as Code, CI/CD, observability, and reliability engineering.

I am a technical owner of a global personalization platform, with end-to-end responsibility for architecture, deployment strategy, developer experience, model-output delivery, reliability, and production operations.

• Platform ownership: Own architecture, deployment strategy, developer experience, reliability, and production operations across global data and ML workloads.
• Technical leadership: Mentor engineers, review code and RFCs/design documents, lead architecture reviews, and turn recurring decisions into engineering standards.
• Reliability engineering: Design observability, idempotency, reconciliation, safe reprocessing, incident response, RCA, and recovery paths for distributed systems.
• Cross-functional delivery: Partner with business, data science, engineering, and global platform stakeholders across distributed international teams.

Data and ML platforms

Cloud, infrastructure, and software engineering

Integration, quality, and operations

Automation, edge, and local AI

Verified end-to-end data engineering platform built with synthetic data and explicit clean-room boundaries, with both credential-free local execution and a live Databricks Free Edition path.

• Five-task Databricks serverless PySpark Job using Unity Catalog managed Delta tables
• Failing data-quality gates, deterministic ranking, SQL MERGE, persisted delivery/outbox simulation, and reconciliation
• Proven idempotent rerun, bounded replay with zero delivery side effects, and 17/17 commit-bound live acceptance checks

Python · PySpark · Spark SQL · Databricks · Unity Catalog · Delta Lake

Portable, fail-closed runtime for bounded local inference through Ollama-compatible models, with explicit contracts for MCP clients and consuming projects.

• Dependency-free Python MCP stdio server and CLI with deterministic routing and source-anchored log extraction
• Checksummed, content-addressed releases with atomic activation and recoverable rollback
• Metadata-only telemetry, disabled-by-default experimental routes, and tightly constrained endpoint recovery

Python · Node.js · MCP · Ollama · NVIDIA RTX · WSL2 · GitHub Actions

Continuously operated, self-hosted platform treated as an event-driven distributed system rather than a collection of device automations.

• Event-driven architecture, integration engineering, and state recovery
• Versioned infrastructure, observability, guarded upgrades, and disaster recovery
• Privacy boundaries and a version-pinned integration with the external Local AI RTX runtime

Python · JavaScript · Node-RED · MQTT · Docker Compose · Home Assistant · Zigbee2MQTT · Matter · YAML/Jinja

All public portfolio projects use synthetic or sanitized data and contain no proprietary employer source code, production data, credentials, or internal business logic.

Anheuser-Busch InBev / BEES · 2025–Present
Technical owner of a global personalization platform serving 22+ countries and processing 50M+ records/day.

Ambev · 2022–2025
Built and operated Azure Databricks platforms, distributed promotion processing for 200K+ monthly campaigns, and optimizations reducing cloud processing costs by ~70%.

Santander Brazil · 2019–2022
Led data engineering for real-time anti-fraud across 1B+ transactions, contributing to an ~80% reduction in fraud losses (~US$200M).

Itaú Unibanco · 2016–2019
Led forecasting, workforce optimization, and real-time routing initiatives generating more than US$15M/year in operational savings.

• Postgraduate Specialization in Data Engineering — Escola Politécnica da USP
• Bachelor's in Aerospace Engineering — Universidade Federal do ABC
• Technical Degree in Electrotechnics — IFES

• Preparing for the Databricks Certified Data Engineer Professional examination
• Deepening expertise in Generative AI, agent engineering, MLOps, data architecture, and platform engineering
• Portuguese: native · English: B2 professional · Spanish: basic

I am open to Senior or Staff-level roles in Data Engineering, Data Platform Engineering, Data Architecture, or MLOps, especially opportunities involving global platforms, technical leadership, reliability, and complex distributed systems.