📍 São Luís, MA, Brazil | 🎓 Computer Engineering Student
I specialize in architecting highly available data infrastructure and building automated ETL/ELT pipelines. Combining my academic background in Computer Engineering with hands-on experience in business logic, I focus on bridging the gap between robust data architecture and scalable, real-world solutions.
Beyond cloud infrastructure, I have a strong track record of transforming manual, error-prone operational bottlenecks (like industrial or logistics tracking) into reliable, automated workflows and real-time dashboards for decision-makers.
-
E-Commerce Modern Data Stack: End-to-End Analytics
- Stack: Apache Airflow, dbt Core, PostgreSQL, MongoDB, Metabase, Docker & Astro CLI
- Architecture: Engineered a robust ELT pipeline extracting nested JSON documents from a transactional NoSQL database into a structured Data Warehouse. The pipeline follows the Medallion Architecture and utilizes Astronomer Cosmos to translate dbt models into visual Airflow TaskGroups, actively solving engineering bottlenecks like XCom Bloat and grain changes.
-
SQL Data Warehouse: Medallion Architecture
- Stack: SQL Server 2022, Python, Docker, Star Schema
- Architecture: Developed a production-ready pipeline that integrates disjointed raw data from CRM and ERP systems into a centralized Star Schema based on the Kimball Methodology. Built strict data quality gates to actively check for left-join fan-outs and ensure absolute referential integrity across the Bronze, Silver, and Gold layers.
-
PostgreSQL High-Availability & Chaos Engineering
- Stack: PostgreSQL 16, Patroni, etcd, HAProxy, Docker Compose, Python
- Architecture: Engineered a strict CP-Distributed Consensus cluster (Raft) guaranteeing Zero Data Loss (RPO=0) and automated sub-30s failover (RTO). Includes a custom SRE Chaos suite to physically audit network partitions and orchestrate self-healing without Split-Brain.
- Deepening knowledge in distributed data processing with Apache Spark.
- Exploring modern Lakehouse architectures on Azure Databricks.
- Structuring automated reports and business logic dashboards for operational efficiency.