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Data Engineer with experience designing and implementing scalable data solutions.
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Expertise in building data pipelines, data warehouses, and lakehouses with a focus on data quality, observability and CI/CD practices.
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Strong hands-on experience with SQL, Python, Spark, cloud platforms and modern open-source tools.
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Data Processing: Python, Spark and dbt
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Data Orchestration: Airflow and Azure Data Factory
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Databases: SQL Server, and Postgres
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Data Quality: Soda
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Cloud Platforms: Azure and AWS
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Testing: Pytest
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Version Control: Git, GitHub and Gitlab
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CI/CD: Jenkins, GitHub Actions and Gitlab
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Operating Systems: Linux and Windows
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Container: Docker and Kubernetes
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Documentation: Mkdocs and Confluence
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Data Catalog: Open Metadata and Unit Catalog
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Observability: Grafana, Prometheus, Loki, Tempo and Open Telemetry
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Dataviz: Power BI
Updated by GitHub Actions
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Setup de Estudo Local para Engenharia de Dados Dec 1, 2025 |
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App de validação de dados com Streamlit Aug 11, 2025 |
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Produto de dados (streamlit + airflow + s3/minio) Jul 21, 2025 |
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Exportando logs e traces do Airflow para o Grafana (Observabilidade com Airflow e Grafana) Mar 17, 2025 |
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Projeto end to end de engenharia de dados (python, dbt, dremio, pbi) Mar 3, 2025 |








