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wlcamargo/README.md

Wallace Camargo - Data Engineer

Experience summary

  • Data Engineer with experience designing and implementing scalable data solutions.

  • Expertise in building data pipelines, data warehouses, and lakehouses with a focus on data quality, observability and CI/CD practices.

  • Strong hands-on experience with SQL, Python, Spark, cloud platforms and modern open-source tools.

Core skills and Technologies:

  • Data Processing: Python, Spark and dbt

  • Data Orchestration: Airflow and Azure Data Factory

  • Databases: SQL Server, and Postgres

  • Data Quality: Soda

  • Cloud Platforms: Azure and AWS

  • Testing: Pytest

  • Version Control: Git, GitHub and Gitlab

  • CI/CD: Jenkins, GitHub Actions and Gitlab

  • Operating Systems: Linux and Windows

  • Container: Docker and Kubernetes

  • Documentation: Mkdocs and Confluence

  • Data Catalog: Open Metadata and Unit Catalog

  • Observability: Grafana, Prometheus, Loki, Tempo and Open Telemetry

  • Dataviz: Power BI

Portfolio

https://wlcamargo.github.io/

Contacts

gmail whatsapp

Social Media

linkedin youtube

📊 Youtube Channel

📺 Last Videos

Updated by GitHub Actions

Setup de Estudo Local para Engenharia de Dados
Dec 1, 2025
App de validação de dados com Streamlit
Aug 11, 2025
Produto de dados (streamlit + airflow + s3/minio)
Jul 21, 2025
Exportando logs e traces do Airflow para o Grafana (Observabilidade com Airflow e Grafana)
Mar 17, 2025
Projeto end to end de engenharia de dados (python, dbt, dremio, pbi)
Mar 3, 2025

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