Faisal Jarrar

- Designed and managed comprehensive Azure cloud solutions, including virtual machines, Azure Kubernetes Service (AKS), and Azure DevOps for CI/CD pipelines, enhancing deployment efficiency and system reliability. - Developed and maintained automated CI/CD pipelines using Azure DevOps, integrating build, test, and deployment stages, which reduced deployment time by 40% and improved release quality. - Deployed and managed Kubernetes clusters on Azure, configuring Horizontal Pod Autoscalers and Cluster Autoscalers to enhance scalability and resource utilization. - Utilized Terraform for managing and automating Azure infrastructure, ensuring consistent and repeatable deployments. - Implemented comprehensive monitoring solutions with Azure Monitor and Dynatrace, improving system visibility, performance analysis, and proactive issue resolution and provide real-time insights into application performance. - Applied best practices for securing Azure environments, including identity and access management (IAM) and network security groups, ensuring compliance with industry standards.

DevOps Engineer (AWS) - Proficiently diagnosed and resolved issues related to Kubernetes pods, deployments, volumes, and replica sets. - Integrated SonarQube into CI/CD Pipelines to ensure code quality and reliability. - Containerized critical company applications for improved scalability and resource utilization. - Successfully executed the migration of domains from Google Cloud Platform (GCP) to Amazon Web Services (AWS). - Utilized and managed core AWS technologies including DynamoDB, Lambda, and others. - Effectively managed resource limits and requests for Kubernetes Resources. - Orchestrated Docker containers on a cloud platform for efficient application deployment. - Leveraged and administered Amazon S3 buckets to store backups for tfstate files. - Expertly imported AWS resources into Terraform state files to maintain comprehensive resource tracking. - Administered an AWS Auto Scaling Group (ASG) to ensure high availability of applications and instances based on load conditions. - Developed Ansible Playbooks to automate system updates and streamline configuration management.

- Developed complex SQL databases for clients, ensuring data integrity and high performance. - Wrote and optimized SQL queries, reducing query execution time by 25% and enhancing overall application responsiveness. - Collaborated with cross-functional teams to define database requirements and contributed to data modeling efforts, resulting in improved system scalability. - Implemented ETL processes to extract, transform, and load data from multiple sources, automating data integration and improving data accuracy. - Created interactive and visually appealing reports using SQL data, enabling stakeholders to make data-driven decisions. - Troubleshot and resolved database-related issues, reducing downtime and improving system reliability. - Managed database version control using Git, ensuring seamless code management and collaborative development. - Documented database schemas, queries, and processes, facilitating knowledge sharing among team members. - Contributed to a critical project involving the migration of a legacy database to a modern system, successfully completing the transition on schedule.

- Developed and executed comprehensive test plans and test cases for new software releases and updates related to auto insurance policy management systems. This included functionality, data integrity, and integration testing. - Performed end-to-end testing of online quote and application systems, identifying critical defects and collaborating with developers to prioritize and address issues promptly. - Led the creation and maintenance of a test data repository for auto insurance policies, ensuring data accuracy and completeness for testing purposes. - Coordinated and participated in UAT (User Acceptance Testing) with internal teams and external stakeholders to gather feedback and validate system changes. - Implemented automated testing processes using testing tools such as Selenium and JUnit, resulting in a 20% reduction in testing time and increased test coverage. - Documented test plans, test cases, and test results in accordance with industry standards and best practices, maintaining a well-organized and accessible repository of testing documentation.