About
Highly skilled Support and Cloud Engineer with over 4 years of experience specializing in Microsoft Azure, AWS, and Linux/Windows server administration. Proven ability to diagnose and resolve complex technical issues, optimize cloud infrastructure, and implement robust security measures. Adept at leveraging automation tools like Ansible and Docker, possessing strong coding skills in Python and JavaScript, and committed to continuous learning to drive exceptional problem-solving and customer satisfaction.
Work
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Summary
Currently resolves complex technical issues related to Git, GitHub workflows, and API integrations, ensuring seamless platform functionality and user experience.
Highlights
Diagnose and resolve advanced technical issues for Git and GitHub workflows, including Webhooks, GitHub APIs (REST/GraphQL), and GitHub Integrations, restoring critical platform functionality.
Troubleshoot complex API integration and CI/CD pipeline failures, minimizing downtime and optimizing development workflows for global users.
Provide expert support for GitHub Pages and GitHub Actions, ensuring robust platform performance and addressing critical user challenges efficiently.
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Summary
Managed and optimized Azure cloud infrastructure and applications, providing expert support for complex deployments, identity management, and server operations.
Highlights
Managed the full lifecycle of deployed applications on Azure Web App Service, implementing critical configurations to enhance scalability and reliability for enterprise clients.
Deployed and configured a diverse range of Azure resources, including Virtual Machines (VMs), VMSS, storage accounts, WVD, and Azure SQL Databases, supporting robust cloud solutions.
Implemented Microsoft Identity and Azure Active Directory Domain Services, establishing RBAC and governance policies to secure user permissions and ensure compliance across cloud environments.
Troubleshot and resolved complex issues across Linux and Windows Server environments, optimizing system performance and enhancing security for critical operations.
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Summary
Gained hands-on experience in cloud and data engineering, contributing to Machine Learning initiatives and developing robust data pipelines and applications.
Highlights
Spearheaded the design and implementation of an ETL pipeline for streaming Twitter data to GCP cloud storage, establishing a scalable data ingestion framework.
Contributed to Machine Learning initiatives, developing a student intelligence prediction model utilizing Python and NumPy, enhancing algorithmic efficiency.
Played a key role in completing 5 capstone projects, demonstrating strong adaptability and technical proficiency in diverse cloud-based solutions and data engineering tasks.
Developed expertise in cloud-based solutions and data engineering, working with streaming data and cloud storage architectures to support advanced analytics.
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Summary
Provided comprehensive technical support, managing system performance, troubleshooting network and OS issues, and ensuring robust security measures.
Highlights
Managed system software updates and patched vulnerabilities, maintaining optimal system performance and security across diverse environments.
Resolved complex network, Windows OS, and application issues, serving as a primary technical resource for efficient problem resolution and reduced downtime.
Installed and updated software packages and device drivers, enhancing system performance and reliability for end-users.
Maintained and optimized data storage solutions, improving data access speed and capacity by implementing best practices and security measures.
Education
Skills
Cloud Platforms
Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP).
Operating Systems
Linux, Windows Server, Windows OS.
Automation & Orchestration
Ansible, Docker, Kubernetes, Containerization.
Monitoring & Logging
Datadog, Prometheus, Application Monitoring.
Programming & Scripting
Python, JavaScript, Node.js, HTML5, CSS.
Databases
MongoDB, MySQL, Azure SQL Databases.
Version Control & CI/CD
Git, GitHub, Continuous Integration (CI), Continuous Delivery (CD), CI/CD Pipelines, GitHub Actions.
Networking & Security
Networking, Security Compliance, Role-Based Access Control (RBAC), Microsoft Identity, Azure Active Directory Domain Services, Authentication & Authorization (Auth0, JWT).
Data Engineering
ETL Pipeline Design, Streaming Data, Cloud Storage Solutions, Data Engineering.
Machine Learning
Machine Learning Initiatives, NumPy.
Virtualization
Virtualization, Virtual Machines (VMs), Virtual Machine Scale Sets (VMSS), Windows Virtual Desktop (WVD).
API & Web Technologies
RESTful API, GraphQL, Webhooks, Express.js, Caching, Websocket.
Troubleshooting & Support
Technical Support, Problem Solving, System Administration, Configuration Management.