Mario Inga is a DevOps Solution Expert with 13 years of experience building cloud-native, resilient infrastructure and automation pipelines across AWS, GCP and Azure. He couples deep Linux systems and software development skills with hands-on SRE, DevSecOps and CI/CD practice鈥攈aving migrated legacy platforms to highly available, autoscaled architectures and containerized microservices. Mario has driven infrastructure-as-code, immutable infrastructure and pipeline-as-code initiatives for media, SaaS and data projects, and contributed DevOps automation to notable open-source work like the GPU-accelerated BlazingSQL project. Comfortable both leading teams and writing the scripts that make production reliable, he also brings teaching experience and formal project management training to bridge technical and organizational gaps. An AWS Community Builder and Cloud Architect by inclination, he often focuses on observability and test automation to reduce incidents before they reach users.
13 years of coding experience
15 years of employment as a software developer
Diplomado especializado en Gerencia de Proyectos Gesti贸n de proyectos, Diplomado especializado en Gerencia de Proyectos Gesti贸n de proyectos at Universidad Peruana de Ciencias Aplicadas
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:7 reviews, 379 commits, 62 PRs in 1 year 10 months
Contributions summary:Mario primarily focused on automating the build and deployment process for the BlazingSQL project. Their contributions involved creating and modifying scripts, specifically `build-all-conda.sh`, to streamline the Conda environment setup. These changes included adding features to build various components and adding scripts to upload packages. The user also added support for running unit tests in the builds.
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