JAMAIL ABELHAD
832-***-**** *********@*****.*** Linkedin Profile
Summary
As a solution and performance-driven cloud engineer, I am dedicated to elevating Agile team methodologies and optimizing enterprise infrastructure. With expertise in software development, cloud computing, artificial intelligence, and machine learning, I am committed to delivering innovative solutions. My skills encompass requirements analysis, object-oriented programming, database deployment, automation, and CI/CD, all while fostering effective team collaboration. My goal is to operationalize high-quality and scalable cloud solutions that drive success for organizations.
Skills / Technical Proficiency
• PowerBI
• SQL Server
• Azure
• Azure SQL
• GitHub, Azure Data Studio
• AI/ML
• Data Analysis ETL
• IoT
• JSON, API Automation
• Cloud Migration, Azure
Bicep
• AKS (Azure Kubernetes
Service)
• Cloud Computing CI/CD
Agile
• VM’s/Azure VM’s
• Query Analysis
• Azure Data Factory,
Database Deployment
• Solutions Delivery, Proof of
Concept
• Automation
• Scripting
• Azure DevOps
• Python
• Java
• Azure
• Elasticsearch
• Kusto Query Language
• Visual Studio
Experience
Oak Ridge National Laboratory 09/2024 to PRESENT
Senior Azure Cloud Engineer HOUSTON, TX
• Designed scalable, secure Azure solutions for research initiatives, using AI, storage, networking, and resource management services.
• Configured VNETs, subnets, private endpoints, VPNs, and DNS zones for secure, private connectivity and compliance with security best practices.
• Automated infrastructure with Terraform, integrated with GitLab for CI/CD, and developed ETL pipelines for efficient data and cloud resource management.
• Managed core infrastructure as Azure Cloud Tenant Administrator, utilizing tools like Defender for Cloud, Log Analytics, Elastic and Sentinel for high availability and compliance. SES-ImagoTag VUSION Cloud 07/2023 to 06/2024
Azure Cloud Engineer DALLAS, TX GA
• Successfully enhanced infrastructure efficiency through proactive resource allocation and performance tuning, leveraging Azure Monitor and Azure Log Analytics. This resulted in streamlined operations and improved cost- effectiveness. leveraging PowerBI resulting in modeling data to markedly increase client satisfaction and long- term loyalty.
• Implemented efficient CI/CD pipelines using Azure DevOps, reducing application deployment times and enhancing the productivity of the IoT systems for the development team.
• Diligently ensured the high availability and reliability of Azure Kubernetes Service (AKS) clusters, leveraging expertise in IoT systems, resulting in minimal downtime and a consistent improvement in system performance. Microsoft Federal Cloud Solution Architect & 08/2021 to 07/2023 Customer Engineer HOUSTON, TX
• Developed and implemented Azure SQL cloud-based solutions for Federal customers, departments, and enterprises, demonstrating expertise in cloud architecture and solution design.
• Presented technical demonstrations (Proof of Concepts) and conducted PowerBI workshops for federal clients, driving increased adoption of Azure services.
• Led the migrations of 5+ federal agencies to Azure using Azure Migrate, resulting in reduced infrastructure costs and improved scalability. Utilizing PowerBI DAX queries to evaluate specific cells in a report for further analysis.
• Collaborated with cross-functional teams to provide technical guidance and support for Federal clients, ensuring seamless integration of Azure solutions.
• Stayed current with Azure services and solutions, offering expert insights to Federal customers and staying at the forefront of cloud technology advancements.
Education
Bachelor of Science: Computer Engineering Technology 05/2021 University of Houston HOUSTON, TX
• Developed an In-Home Automation Design Project in Fall 2020, creating a sensor-based system to control lighting, temperature, and security in a model home. Designed an iOS/Android app and integrated a microcontroller for user-friendly automation. Also served as an IEEE Officer. Certifications
• AZ900 Azure Fundamentals
• AI900 AI fundamentals.