Senior Data & AI Engineer · Databricks · GCP · Azure · Lakehouse, Governance & Agentic AI
📍 Sydney, Australia · 🇧🇷 Brazilian
I'm a Senior Data & AI Engineer with 4+ years of experience designing and building data platforms end to end — from ingestion and modelling to governance, CI/CD and AI-powered applications. I work across Google Cloud, Azure and Databricks, and I'm focused on what I call AI Data Engineering: bringing agentic AI systems into the data engineering lifecycle as a core part of how pipelines are specified, built and operated.
- 🏗️ Lakehouse & Data Warehouse architecture — Medallion (Bronze → Silver → Gold) on Databricks and BigQuery, terabyte-scale workloads.
- 🛡️ Data governance & quality — Unity Catalog, Dataplex, Policy Tags, lineage and data quality gates with quarantine of rejected records.
- 🤖 Agentic AI for data engineering — Claude Code workflows integrated via MCP (Model Context Protocol) with Databricks, Jira and SharePoint; reusable agent skills; LLM agents with ADK, LangChain and LangGraph; RAG.
- 🔁 DataOps — CI/CD with Azure DevOps and Cloud Build, isolated DEV / HML / PROD deployments, orchestration with Airflow (Cloud Composer).
- 📈 Machine Learning — Vertex AI and BigQuery ML, feature engineering, training, evaluation and deployment.
I'm currently living in Sydney, improving my English and preparing for a Master by Research, while staying hands-on with data and AI projects. I'm open to Data / AI Engineering opportunities in Sydney (on-site, hybrid or remote).
| Certification | Issuer |
|---|---|
| Professional Data Engineer | Google Cloud |
| Professional Machine Learning Engineer | Google Cloud |
| Databricks Certified Data Engineer Associate | Databricks |
| Forward Program | McKinsey & Company |
Cloud & platforms
Data engineering
AI & ML
Languages, APIs & DevOps
| Period | Role | Company | Focus |
|---|---|---|---|
| 2025 – 2026 | Senior Data Engineer — Azure & Databricks | NEORIS | Terabyte-scale Lakehouse, Delta Live Tables, Unity Catalog, agentic workflow on Claude Code + MCP |
| 2025 – 2026 | Senior Data Engineer — Google Cloud | NEORIS | End-to-end GCP architecture, Dataform, BigQuery, Dataplex, CI/CD with Azure DevOps |
| 2025 | Machine Learning Engineer | IPNET by Vivo | Vertex AI, BigQuery ML, LLM agents (ADK, LangGraph), RAG, FastAPI |
| 2024 – 2025 | Data Engineer | IPNET by Vivo | ETL/ELT on GCP: BigQuery, Dataflow, Composer, Dataproc |
| 2024 | Systems Development Analyst | Prognum | Brazil's largest bank real-estate credit system (SQL, Python, REST/SOAP) |
| 2023 – 2024 | Data Engineer | Kairós Solutions | GCP pipelines, PySpark on Dataproc, Looker Studio dashboards |
| Project | What it does | Stack |
|---|---|---|
| News Content Collector & API | Async scraper for The Guardian, loads into BigQuery and serves the data through a REST API | Python, asyncio/aiohttp, FastAPI, BigQuery, Docker |
| GCP ETL Pipeline with dbt | Validates and loads files from Cloud Storage into BigQuery, then models them with dbt; deployed to Cloud Run | Python, Flask, BigQuery, dbt, Cloud Run, Cloud Build |
| Automated Market Data ETL on GCP | Serverless daily ETL of stock prices from Yahoo Finance into BigQuery | Cloud Functions, Cloud Scheduler, Cloud Storage, BigQuery, IAM |
| FIPE API Extractor with Airflow | Orchestrated extraction of Brazil's FIPE vehicle price tables | Python, Apache Airflow (Astronomer), Docker |
Let's connect — I'm always happy to talk about data platforms, Lakehouse architecture and agentic AI. 🚀