Luis Salomão
Backend Engineer at NVISIONx
Paraná, Brazil
Summary
🤩
Rockstar🎓
Top SchoolLuis Salomão is a backend engineer from Paraná, Brazil with five years of experience building data integrations and streaming systems. Trained in electrical engineering at Universidade Estadual de Maringá, he transitioned into data-focused backend roles across startups like Mage, Estuary, and NVISIONx, contributing end-to-end features from sources to frontend integration. Notably, he implemented RabbitMQ streaming support and Azure Data Lake export in the high-impact mage-ai project, demonstrating fluency with messaging, ETL pipelines, and production-quality testing and docs. He moves comfortably between data engineering and backend development, fixing lint and minor bugs while adding new capabilities that improve usability. Colleagues rely on him for pragmatic solutions that bridge infrastructure, data flow, and user-facing integrations.
5 years of coding experience
6 years of employment as a software developer
Engenharia Elétrica, Engenharia Elétrica at Universidade Estadual de Maringá
English
Github Skills (9)
rabbitmq10
data-pipeline10
data-pipelines10
python10
streaming10
data-engineering10
pika10
data-integration9
unit-testing8
Programming languages (4)
Github contributions (5)
mage-ai/mage-ai
Feb 2023 - Feb 2024
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:74 reviews, 103 PRs, 32 pushes in 1 year
Contributions summary:Luis primarily focused on implementing RabbitMQ support for streaming data pipelines within the mage-ai framework. They developed a RabbitMQ source, configuration options, and a streaming block for the BlockConnection connection type, including tests and documentation for usage. Furthermore, the user fixed various linting issues and minor bugs to ensure code quality and functionality of the new RabbitMQ feature, as well as integrated the support on the frontend interface. They also added Azure Data Lake export to streaming pipelines
pythondatadbttransformationdata-quality
Luishfs/mage-ai
Feb 2023 - Feb 2024
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
Contributions:222 pushes, 75 branches in 1 year
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