Bart G.
DevOps Engineer
Bart designs automation-driven workflows that streamline operations, including deployment planners, migration of manual Excel and task flows to SharePoint and pipelines, and internal developer hubs that accelerate onboarding. His hands-on expertise spans Azure, Terraform, Docker, Azure Pipelines, monitoring with Grafana, and scripting in C#, Python, Bash, and PowerShell. Alongside his technical skills, Bart maintains clear communication with stakeholders and effectively manages escalations, ensuring smooth project execution and operational reliability.
Main expertise
DevOps7 years
Kubernetes5 years
Azure7 years
Terraform5 yearsExperience4
DevOps Specialist
- Containerized legacy applications and migrated them to AKS clusters, extending the system lifecycle by over three years.
- Integrated monitoring with notification channels to enable faster incident response.
- Implemented infrastructure as code (IaC) with Azure Bicep and migrated staging environments to Terraform, reducing provisioning time by approximately 60%.
JavaScript
Docker
C#AzureTerraformDevOps Team Lead (with hands on)
- Led Azure cloud infrastructure projects, combining leadership with hands-on delivery of infrastructure as code (IaC) and automation.
- Migrated manual deployments to automated multi-stage pipelines, improving reliability and reducing release effort from approximately 48 hours to 4 hours.
- Developed custom automation scripts in PowerShell and Bash to eliminate repetitive manual tasks.
- Introduced observability solutions to monitor deployment health in real time.
- Automated ingress workflows in Azure DevOps Boards, reducing invalid requests by 35%.
SQLAzureTerraform
Microsoft Power Automate
Bicep
Azure Logic AppsTechnical Team Lead, Support and Localization Engineer
- Analyzed document, software, and website localization kits, including all source files, to provide accurate project quotations.
- Prepared localization kits across various formats for translation project workflows.
- Conducted research, training, and produced reports on assigned localization tools and topics.
- Improved automation in web publishing and QA processes, enabling successful client site releases and reducing effort by 75%.
- Identified and improved common support procedures, including enabling easier access to production environments.
- Enhanced maintainability of production systems and streamlined the upgrade process.
- Introduced cloud infrastructure for demo and test systems, reducing the need for dedicated servers and lowering costs.
- Led a cross-functional team of eight, including QA, development, and DevOps engineers.
- Migrated Excel-based task management to SharePoint with automation, saving approximately 10 hours per week.
- Built an internal developer hub to centralize repositories, pipelines, and documentation, significantly reducing onboarding time.
- Introduced workload routing in Azure DevOps, reducing backlog by 35%.
JavaScriptDocker
AWS
Java
Python
Web Developer
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Full-stack development of an ERP application written in PHP.
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Working with "Birt" reports
PHPEngineering excellence
All DevOps Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated DevOps Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Bart stands.
Score 175 · Top 17% of engineers
Education
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