Data Engineer
Data Warehousing · ETL/ELT · Data Modeling · Data Governance · Data Quality · Data Observability · Data Lineage · Data Catalogs
I have 15 years of experience in computing, including 5+ years focused on Data Engineering. My experience spans multiple industries, including EdTech, Public Sector (Public Prosecution and Courts of Law), Oil & Gas, Agribusiness, and E-commerce Fraud Prevention, where I have designed and implemented scalable data platforms, data pipelines, APIs, and analytics solutions that support business-critical decision-making.
Also, I have a solid academic background in Computer Science, with a Ph.D. (2020) focused on Data Science, a M.Sc. (2015) and a Bachelor’s degree (2012) in Computer Science focused on Multimedia Systems.
Core expertise
- Programming Languages: Python, C++, Javascript
- Cloud & Infrastructure: AWS (S3, SQS, Lambda, ECS, EKS, CloudWatch), GCP, Docker, Kubernetes
- Data Processing & Orchestration: Airbyte, Airflow, Celery, dbt, Spark
- Data Architecture: Data Lakes, Data Warehouses, Modern Data Stack, Batch Processing, Data Pipelines
- Databases: BigQuery, MongoDB, MySQL, PostgreSQL, Redshift, Redis
- Backend Development: REST APIs, Microservices, Tornado, FastAPI, Distributed Systems
- Analytics & Data Visualization: Pandas, Power BI, Metabase, Operational Analytics, KPI Monitoring
- Monitoring & Reliability: Elementary, Great Expectations, Testing, Observability, SLA/SLO Design
Interests: data engineering, modern data stack, distributed data processing, data governance.
- Ph.D. in Informatics — PUC-Rio (Pontifícia Universidade Católica do Rio de Janeiro), Rio de Janeiro, Brazil · 2016–2020
- M.Sc. in Computer Science — UFMA (Universidade Federal do Maranhão), São Luís, Brazil · 2013–2015
- B.Sc. in Computer Science — UFMA (Universidade Federal do Maranhão), São Luís, Brazil · 2008–2012
- The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero · Udemy · Feb 2025
- dbt Fundamentals · dbt Labs · Feb 2025