• Utilize AWS services such as EC2, S3, Amazon VPC, Route 53, Elastic Beanstalk, EFS, EBS, and RDS to build and maintain scalable and efficient cloud infrastructure.• Automate and streamline operations and processes using tools like Jenkins, Ansible, and Terraform to enhance productivity and efficiency in development, testing, and production environments.• Implement and manage CI/CD pipelines with tools such as Jenkins, ensuring smooth and continuous integration and delivery of applications.• Monitor and maintain system health and performance utilizing Amazon CloudWatch to ensure high availability and reliability of services.• Collaborate with cross-functional teams including developers, system administrators, and quality assurance to achieve optimal results, leveraging tools like GitHub and Jira for effective project management and communication.• Manage container orchestration and deployment using Docker and Kubernetes, supporting scalable and secure application deployment.• Develop and maintain configuration management solutions with Puppet and Chef, ensuring consistent environment setups and swift issue resolution.• Create and manage infrastructure as code with YAML and JSON configurations to ensure reproducibility and consistency across environments.• Implement GitOps practices to streamline and enhance the deployment process through automated workflows and infrastructure management.

• Demonstrated expertise in configuring and managing advanced networking protocols such as TCP/IP, DHCP, and DNS, as well as exceptional proficiency in opening, closing, and redirecting network ports to support diverse applications and services, thereby maintaining robust and efficient data flow across the network.• Provided Tier 1 and Tier 2 technical support to 300+ customers per month via phone, email, or chat, diagnosing and resolving complex broadband internet connectivity issues through the use of troubleshooting tools.• Escalated more than 100 reported issues to the Network Operations Center each week to be resolved, resolving over 95% of issues within 24 hours of receipt, as a Tier 2 Support Engineer.• Resolved network issues by utilizing network monitoring tools and escalated to the appropriate teams as necessary, resulting in no loss of productivity and no outages.• Maintained accurate and detailed documentation of all customer interactions and issues, decreasing average call time by 20% and increasing customer satisfaction by 10%.• Consistently achieved KPIs on First Call Resolution (FCR), Net Promoter Score (NPS), and Customer Satisfaction (Csat) at least 10% higher than the goals by monitoring metrics in real time, proactive coaching, and continuous training.

• Developed a responsive and user-friendly admin panel using TypeScript, React, and JavaScript by building a single page application, reducing the number of page refreshes by 20%, enabling users to access content on mobile and desktop devices.• Set up and maintained Linux servers for hosting web applications, ensuring smooth integration between frontend and backend services. • Optimized performance, scalability, maintainability, and code consistency through the implementation of Redux Toolkit, React Router, Axios, Material, Tailwind, and Redux Thunk.• Played a key role in developing SaaS solutions by building dynamic frontend interfaces to interact with cloud-based backend services. Utilized SQL for efficient data management and retrieval, and integrated RESTful APIs and GraphQL endpoints, enhancing the functionality and responsiveness of the overall SaaS product.• Assisted in the configuration and management of cloud infrastructure, achieving secure and efficient operation of web applications. Masterfully optimized cloud resource usage and implemented industry-leading best practices for cost-effective, high-performance cloud solutions.

• Expert in MySQL for database management, performing complex queries, data modeling, and optimizing database performance. Achieved integrity and consistency of data across multiple databases and data sources.• Utilized Python for data analysis, processing, and visualization to derive actionable insights. Automated data extraction and transformation tasks using Bash scripts, enhancing workflow efficiency and data accuracy.• Analyzed large datasets of up to 100,000 rows, identifying trends, patterns, and insights, and presenting findings through visualizations, charts, and graphs using tools such as Excel, Tableau, or Power BI.• Worked with JSON and YAML formats for data interchange and configuration. Integrated various data sources and APIs, facilitating seamless data flow and synchronization across different systems and applications.