Summary
Overview
Work History
Education
Skills
Certification
Additional Information
Timeline
Generic

Rehan Sayyed

Normal,IL

Summary

Experienced Cloud DevOps Engineer with a decade of hands-on expertise; showcasing a proven ability to conceive, implement, and enhance DevOps methodologies across intricate software development projects. Committed to enhancing scalability, refining procedures, and ensuring continuous integration and delivery for the optimization of organizational efficiency and productivity. Proficient in leveraging cloud computing platforms, specifically Azure, OpenShift stack, and Amazon Web Services (AWS); additional expertise as a Site Reliability Engineer. Skilled in automated configuration, deployment, and orchestration across cloud platforms and data centers. Extensive experience in various DevOps aspects, including CI/CD pipeline management, build/release coordination, and successful implementation of AWS and Azure DevOps. Proficient in code deployment through CI/CD pipelines using Jenkins, Bamboo, VSTS for ADO, with DevOps concepts. Well-versed in orchestrating Kubernetes with Docker Compose manifests and adept at automation, scripting, containerization, and Infrastructure as Code (IaC) using Terraform, Puppet, and Ansible. Demonstrates robust scripting skills in Shell and Bash; committed to driving innovation and efficiency in DevOps practices for continuous improvement. PROFESSIONAL SUMMARY Over 8 years of Multi Cloud engineering experience, including DevOps toolchain and 1+ year as a Linux System Admin. Proficient in implementing DevOps methodologies and skilled in Cloud technologies (Azure, AWS), DevOps, Configuration management, Infrastructure automation, and CI/CD. Hands-on expertise in Containers, Application, Platform, Security, and Infrastructure across AWS, Microsoft Azure, Google Cloud GCP, and DevOps Toolchain. Integrated Docker files into CI/CD pipelines, automated building, and deployment of Docker images, and created efficient and secure Docker files. Experienced in multi-stage builds to streamline Docker image creation, using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, and Docker Registry. Designed high availability and disaster recovery solutions for On Prem/Cloud landscape, Big Data architecture flows for Spark, Kafka, ElasticSearch, LogStash, and Kibana. Implemented IaaC via Terraform/Ansible, and used Azure Databricks, Snowflake, RedShift, Azure Data Factory, MuleSoft, SeeBurger, Live Stream Applications, Data Lake, Machine Learning Models across On Prem Workloads, AWS, Azure, GCP. Extensive experience in SAFe Scrum/Agile methodologies for project management operations. Experience in DWH/ETL Design Solution on AWS – Attunity, Python, Airflow, Jenkins, Teradata, ABC Framework, and Lambda functions. Expertise in AWS Code Build, Code Deploy, YAML, writing templates, testing via configuring and deploying Chef Cookbooks for Infrastructure Configuration Management. Used Security Groups, Network ACLs, Internet Gateways, NAT instances, and Route tables for securing organizations in Azure public cloud. Implemented Security, Governance, Risk, Compliance, Cost Management, and Operational Excellence with TLS, HIPAA, PCI DSS, ACL, NAT, SAML, Auth CloudStack Security Standards. Excellent communication and interpersonal skills, self-motivated, quick learner, and determination to learn new technologies, lead pre-sales efforts, and provide technical guidance for multiple delivery engagements.

Overview

11
11
years of professional experience
1
1
Certification

Work History

Sr. Cloud DevOps Engineer

American Express, Dr
04.2022 - Current
  • Configured various Azure resources, such as Virtual Machines, Storage accounts, App Services, Virtual Networks, Azure SQL Database, Azure Search, Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Service Bus, Function Apps, Application Insights, and Express Route, as part of the project initiation
  • Integrated Maven with GIT for efficient source code control, facilitating version management and collaborative development
  • Developed comprehensive CI/CD Pipelines in Azure DevOps, establishing a robust strategy for continuous integration and delivery across the project
  • Implemented Infrastructure as Code (IaC) using either Terraform or Azure Resource Manager (ARM) templates, ensuring scalable and consistent deployments
  • Provisioned and configured Kubernetes clusters on Azure using Terraform, streamlining container orchestration for seamless application deployment
  • Utilized Docker to establish an Azure Container Registry, facilitating efficient containerization, and deployed applications using Kubernetes for effective container orchestration
  • Employed Ansible and Ansible Tower for configuration management, integrating seamlessly with Jenkins on Azure for automated and consistent infrastructure setups
  • Facilitated Agile methodologies, including daily stand-up meetings, sprint planning, and retrospective sessions, promoting effective communication and collaboration
  • Utilized Azure DevOps Boards for backlog tracking, sprint planning, and task management, complemented by JIRA for comprehensive issue tracking and project management
  • Executed a migration plan for on-premises applications to Azure Cloud (ARM), with a specific emphasis on automation to enhance efficiency and reduce manual interventions
  • Implemented Azure Active Directory connect, synchronizing on-premises Active Directory user data, and configured security in Azure AD using privilege access management, Identity protection, multi-factor authentication (MFA), and Azure Role-based Access Control (RBAC)
  • Implemented migration strategies for traditional systems on Azure, ensuring robust encryption and firewall configurations to enhance data security during the transition
  • Implemented centralized identity management using Ping Directory, enabling seamless single sign-on (SSO) across multiple applications
  • Leveraged Argo CD's monitoring features for comprehensive deployment tracking, and integrated Prometheus and Grafana for effective monitoring and analysis of application performance
  • Demonstrated expertise in designing APIs and deploying REST-based microservices across various environments, enhancing the flexibility and scalability of the application architecture
  • Set up and managed continuous integration jobs and continuous delivery pipelines in Azure DevOps (VSTS), ensuring a streamlined and automated release process
  • Conducted in-depth research on project application architecture to support and resolve build, compile, and test issues, contributing to the overall project's stability
  • Installed and configured NEXUS Repository manager for artifact sharing, supporting seamless integration, automated testing, and efficient release management
  • Administered and monitored Visual Studio Team System (VSTS), conducting backups, and consolidating collections during migration, ensuring the integrity and availability of project data
  • Defined dependencies and plugins in Maven pom.xml, integrated Maven with GIT for effective project management, and designed a fully automated server build management system to optimize infrastructure processes
  • Successfully migrated on-premises data to Azure Data Lake Store (ADLS) using Azure Data Factory, ensuring a smooth transition and data continuity
  • Environment: Azure Services, Maven, GIT, Azure DevOps, Jenkins, Terraform, ARM Templates, Kubernetes, Docker, Ansible, Azure DevOps Boards, JIRA, Azure Active Directory, Argo CD, Prometheus, Grafana, Nexus, VSTS, Azure Data Factory, Azure Data Lake Store (ADLS)

AWS/DevOps Engineer

CVS Health
11.2020 - 03.2022
  • Successfully executed the migration of applications and data from on-premises to AWS, utilizing services like EC2, S3, Route53, and IAM
  • Implemented Amazon EC2 configurations, set up instances, Virtual Private Cloud (VPCs), and security groups, and used
  • AWS Route53 for efficient traffic routing across different regions
  • Utilized BOTO3 and Fabric for launching and deploying AWS instances
  • Configured Amazon S3, Elastic Load Balancing, IAM, and Security Groups in both Public and Private Subnets within VPC
  • Implemented storage cached and storage volume gateways for data storage and additional services
  • Architected and established a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting, including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, and Route Tables
  • Implemented security measures such as Security Groups, Network ACLs, Internet Gateways, NAT instances, and Route tables to ensure a secure environment within AWS public cloud
  • Executed migration services like AWS Server Migration Service (SMS) for streamlined "lift and shift" migration and AWS Database Migration Service (DMS), AWS Snowball, and Amazon S3 Transfer Acceleration for large-scale data transfer
  • Leveraged Terraform for the management of various AWS resources, including EC2 instances, VPCs, subnets, security groups, IAM roles, S3 buckets, RDS databases, etc
  • Maintained highly available EC2 instances using Terraform and CloudFormation
  • Implemented strategies for horizontal scaling and load balancing in Kafka to efficiently handle increased data volume and traffic
  • Developed reusable and modular infrastructure components using Terraform modules
  • Created Terraform scripts for automating AWS services provisioning, infrastructure deployment, and Lambda functions
  • Implemented CI/CD pipelines with Jenkins to build, test, and deploy microservices containers on Kubernetes clusters, utilizing Ansible across DEV, UAT, and PROD environments
  • Installed and configured Jenkins for continuous integration and delivery pipelines, integrating with Nexus, SonarQube, and Ansible
  • Created Ansible playbooks for automation, including file manipulation, configuration changes, and deployments
  • Utilized Docker containers to deploy applications on AWS services like Amazon ECS or Amazon EKS
  • Proficiently wrote
  • Dockerfile instructions, defining the desired state of applications and their dependencies
  • Configured and optimized Docker images specifically for AWS deployments, incorporating multi-stage builds, cache optimization, and reducing image size
  • Configured various Docker network types, including bridge networks, overlay networks, or custom networks tailored to specific AWS project requirements
  • Integrated AWS services such as Amazon RDS, Amazon S3, AWS Lambda, Amazon DynamoDB, or AWS Elastic Load Balancer (ELB) with Kubernetes applications
  • Set up Kubernetes using Amazon Elastic Kubernetes Service (Amazon EKS) or self-managed Kubernetes on Amazon EC2 instances
  • Managed Kubernetes charts using Helm, created reproducible builds of Kubernetes applications, Kubernetes manifest files, and releases of Helm packages
  • Developed a CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for building, testing, deploying, and configuring Kubernetes to handle Docker containers with multiple namespaced versions
  • Utilized Prometheus and Grafana Dashboard for obtaining Kubernetes metrics logs
  • Created infrastructure templates using Terraform for building staging and production environments as code
  • Used Nagios for monitoring web applications, web services, URL monitoring, content monitoring, and HTTP status
  • Managed multiple corporate applications in GitHub, Bitbucket code management repositories, and facilitated user access management for GIT and Bitbucket project directories
  • Conducted regular monitoring activities on Unix/Linux servers, ensuring application availability and performance using Dynatrace and Zabbix
  • Monitored and gained insights into infrastructure, applications, and services using AWS CloudWatch, CloudTrail, and additional tools such as Splunk and New Relic
  • Implemented robust monitoring solutions with tools like Prometheus, Grafana, and ELK Stack to track Kafka cluster performance
  • Administered CentOS/RHEL servers, covering installation, testing, tuning, upgrading, and patching, with expertise in troubleshooting both physical and virtual servers
  • Installed, configured, and maintained Tomcat and WebSphere Applications on Red Hat Linux
  • Environment: EC2, S3, Route53, IAM, VPC, NACL, DNS, Terraform, BOTO3, Kafka, Jenkins, Ansible, Docker, Docker Swarm, Kubernetes(K8s), Amazon ECS, Amazon EKS, Prometheus, Grafana, Nagios, Maven, Nagios, JIRA, Nexus, SonarQube, Git, GitHub, Bitbucket, Dynatrace, Zabbix, AWS CloudWatch, CloudTrail, Splunk, New Relic, ELK Stack.

Cloud/ DevOps Engineer

Southwest Airlines, 2702 Love Field
10.2019 - 10.2020
  • Spearheaded software development, deployment, and operations process enhancements, focusing on scalable and highly available infrastructure solutions
  • Collaborated with development teams, implemented Terraform and CloudFormation for infrastructure as code (IaC) to meet requirements
  • Integrated and configured Azure DevOps with Git for enhanced collaboration and version control
  • Evaluated and implemented SCM tools, driving operational improvements for build/release/deployment processes
  • Provided process design, management, and support for source code control, code compilation, and production release management
  • Collaborated across multiple development and system analysis teams, establishing build schedules, and providing deployment guidelines
  • Implemented security practices within Harness, ensuring secure secrets management and compliance checks
  • Delivered training on Harness best practices, promoting effective platform utilization
  • Demonstrated proficiency with Linux systems, virtualization, Linux Containers (LXC), Docker, and utilized ANT and Chef Scripts for application builds and deployments
  • Resolved issues in Gitlab and Jira and handled Application Deployment and Environment configuration using Chef
  • Automated build and deployment processes using VMWare ESX, Docker containers, and Hudson
  • Created Ansible roles, configured files for parallel deployment, and used Ansible for multi-node configuration management
  • Executed CI Jenkins build jobs for Android and iOS applications using GIT (Stash) and Artifactory
  • Applied Infrastructure as Code (IaC) principles, utilizing Azure CLI, Azure PowerShell, and ARM templates for provisioning and managing Azure resources
  • Developed Python automation scripts to streamline deployment processes
  • Installed and configured Puppet, including master, agent nodes, and admin control workstation
  • Administered JIRA, customized dashboards, implemented security, and added new projects based on team requirements
  • Orchestrated creation of Pods with Kubernetes and implemented Jenkins pipelines for microservices builds and deployment to Docker registry and Kubernetes
  • Leveraged Docker for virtualizing servers, creating isolated environments for testing, development, and production
  • Integrated Kubernetes with Docker for streamlined container management, including Pods, Configuration Maps, and deployments
  • Engineered Azure infrastructure using Terraform, ensuring reliable versioning and utilizing Azure Terraform modules for automated resource provisioning
  • Implemented CI/CD pipelines for AKS using Helm charts in Azure DevOps for automated build, testing, and deployment
  • Managed and optimized release processes, incorporating version control, release coordination, and rollback strategies
  • Utilized ServiceNow for incident, change, and problem management
  • Implemented monitoring and alerting systems such as Splunk, Nagios, Azure Monitor, CloudWatch, and ELK
  • Implemented proactive measures to anticipate and prevent system failures or performance degradation
  • Participated in incident response and on-call rotations, conducting root cause analyses (RCAs) and implementing preventive measures
  • Improved system reliability, resilience, and fault tolerance, incorporating fault injection, chaos engineering, and disaster recovery planning
  • Collaborated with security teams to enforce security best practices and compliance requirements
  • Automated security checks and scans through static code analysis and vulnerability assessments in the CI/CD pipeline
  • Documented and shared best practices, processes, and system configurations to enhance knowledge sharing and onboarding processes
  • Environment: Terraform, CloudFormation, Azure DevOps, Git, Jenkins, Harness, Linux, Linux Containers (LXC), Docker, ANT, Chef, Gitlab, Jira, VMWare ESX, Hudson, Ansible, CI Jenkins, Maven, GIT (Stash), Artifactory, Python, Azure CLI, PowerShell, ARM templates, Puppet, JIRA, Kubernetes, Helm, Docker registry, ServiceNow, Splunk, Nagios, Azure Monitor, CloudWatch, ELK Stack, Prometheus, Grafana, Docker, AKS (Azure Kubernetes Service).

DevOps/SRE Engineer

Hewlett Packard Enterprise
06.2017 - 09.2019
  • Collaborated in an agile development team, focusing on Configuration, SCM, Build/Release Management, Infrastructure as Code (IAC), and AWS DevOps operations in production and cross-platform environments
  • Utilized AWS to build servers, import volumes, launch EC2 instances, set up RDS, create security groups, implement auto-scaling, and configure load balancers (ELBs) within a defined virtual private connection
  • Set up AWS infrastructure using various resources such as VPC, EC2, RDS, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS in CloudFormation JSON templates, Route53, and Lambda
  • Employed Ansible playbooks for virtual and physical instance provisioning, configuration management, and patching
  • Automated tasks using Ansible, Python, Perl, or shell scripting with a focus on detail, standardization, processes, and policies
  • Integrated Argo CD with other tools in the software delivery pipeline, such as Helm, Kubernetes, and Git, to enable end-to-end automation and orchestration of application deployments
  • Developed release plans, defining, collecting, analyzing, and presenting project metrics on a weekly basis
  • Played a key role in the DevOps migration and automation processes for build and deploy systems
  • Established a fully automated CI/CD process, utilizing Jenkins/Hudson and GitHub for coordinating code build promotions and orchestrating deployments
  • Built Java code on different Jenkins servers according to the schedule
  • Built .Net applications, handling branching, tagging, and release activities on version control tools like GIT and Subversion (SVN)
  • Created Python scripts to automate AWS services, covering web servers, ELB, CloudFront distribution, databases, EC2 instances, database security groups, S3 buckets, and application configuration
  • Developed test cases, documented, and tracked test results, and followed up on issues/defects using JIRA
  • Researched and implemented code coverage and unit test plugins like FindBugs and Checkstyle with Maven/Hudson
  • Coordinated release activities with Project Management, QA, Release Management, and Web Development teams to ensure smooth and trouble-free rollouts with a focus on quality and security
  • Configured and monitored distributed and multi-platform servers
  • Integrated and configured Azure DevOps with Git, enhancing collaboration and version control for Python-based projects
  • Demonstrated expertise in writing Puppet manifests and modules to automate deployment processes and integrating them into Jenkins jobs for a continuous delivery (CD) framework
  • Responsible for performing security scans, defect tracking, reporting, and reproducing using SonarQube, Bugzilla, and JMeter
  • Environment: AWS Services, Terraform, CloudFormation, Ansible, Python, Perl, Shell scripting, Argo CD, Helm, Kubernetes, Git, Jenkins, GitHub, Java, .Net, GIT, Subversion (SVN), JIRA, FindBugs, Checkstyle, Maven, Hudson, Azure DevOps, Puppet, SonarQube, Bugzilla, JMeter.

Build & Release Engineer

Hilniva Software Solutions
10.2014 - 06.2016
  • Defined and implemented robust CI (Continuous Integration) and Release Management processes, along with associated policies and procedures
  • Collaborated with teams to establish efficient and standardized workflows for code integration and deployment
  • Utilized Perl and Python scripts for Git, implementing essential hooks like post-commit and pre-push for automated code checks
  • Managed Maven dependencies, deploying snapshot and release artifacts to Nexus, ensuring seamless collaboration across projects and environments
  • Configured and maintained Jenkins, integrating with ANT and Maven for automated build scheduling and execution
  • Implemented automation for the release pipeline using Jenkins, SVN, Nexus, and Olio, achieving zero-touch deployments
  • Implemented Terraform for Infrastructure as Code (IaC), crafting templates to define and deploy staging and production environments
  • Orchestrated AWS infrastructure components such as EC2, IAM, VPC, ELB, and Security groups using Terraform
  • Managed highly available EC2 instances using Terraform, introducing new modules to accommodate evolving functionalities
  • Installed Ansible Registry for streamlined local Docker image management and efficiently deployed cloud services using Ansible
  • Deployed AWS solutions using various services such as EC2, S3, EBS, Elastic Load Balancer (ELB), auto-scaling groups, and OpsWorks
  • Worked on Terraform to create AWS components and to deploy Docker on AWS
  • Maintained build-related scripts in shell, specifically for Maven builds, ensuring consistent and reliable build processes
  • Adapted and modified build configuration files, including POM.xml, to align with project requirements
  • Environment: EC2, S3, EBS, Elastic Load Balancer (ELB), auto-scaling groups, OpsWorks, Jenkins, SVN, Nexus, Olio, Terraform, Git, Perl, Python, Maven, Nexus, ANT, Ansible, Docker.

Linux System Admin

Hilniva Software Solutions
07.2013 - 09.2014
  • Developed comprehensive Test Plans and Test Scripts by analyzing both Business and System Requirements of the Application
  • Installed, configured, and upgraded Red Hat Linux 5/6 operating system, ensuring a seamless and up-to-date foundation for diverse applications
  • Demonstrated expert proficiency in server setup by configuring Red Hat Linux Servers on HPC, showcasing the ability to optimize server environments
  • Showcased proficiency in virtualization by skillfully creating VM Templates, conducting cloning processes, and effectively managing Snapshots for streamlined operations
  • Ensured optimal server performance through remote monitoring and management of server hardware, implementing proactive measures for smooth functioning
  • Installed and administered various servers, including DNS, NIS, NFS, NTP, SAP, Samba, SNMP, and DHCP, showcasing versatility in server administration
  • Executed package management adeptly using RPM, YUM, and UP2DATE in Red Hat Linux, contributing to an organized and efficient software environment
  • Deployed VMware ESX containers for VM cloud and Vsphere, working with ESX (vSphere) 4.x, 5.x hypervisor
  • Installed and maintained Oracle 10g, 11g on LINUX and Windows platforms, ensuring robust database performance
  • Executed Vmotion using VCenter 5.0 on ESX machines for efficient online VM migration, enhancing system flexibility
  • Facilitated daily communication with external vendors and internal business, ensuring prompt resolution of file transfer issues
  • Demonstrated advanced Shell and Perl scripting skills, showcasing expertise in automation and customization for streamlined and tailored solutions
  • Proficient in Grub, PXE boot, Kickstart, Packages, YUM, RPMs, LVM, Boot from SAN, and file system configuration
  • Administered Active Directory Servers, including daily monitoring, troubleshooting, and performance analysis
  • Skillfully troubleshooted and configured both Local and Network-based printers, ensuring seamless printing solutions for enhanced user productivity
  • Managed User and Group Administration with a focus on Advanced File Permissions, optimizing access controls and security measures within the system
  • Maintained network security while enabling remote access for users to all data and software, striking a balance between accessibility and data protection
  • Collaborated with various vendors to set up the testing-lab, establishing effective testing processes and contributing to a collaborative and innovative work environment.

Education

Master of Science - Computer Science

University of Illinois At Springfield
Springfield, IL
12.2023

Skills

  • TECHNICAL SKILLS
  • Cloud Environments
  • Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
  • Azure
  • VMs, App Services, Functions, Key Vault, Azure Storage (Blob storage, File Storage), Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes Service (AKS), Azure SQL, Azure Cosmos DB, Azure Data Factory / ETL / ELT / SSIS, Azure Data Lake Storage, Azure Data bricks
  • AWS
  • AWS EC2, ELB, S3, EBS, VPC, Route 53, RDS, Auto-Scaling, IAM, SNS, SES, SQS, Cloud Front, Cloud Formation, Cloud Watch, Elastic Beanstalk
  • GCP
  • Google Compute Engine (GCE), Google Kubernetes Engine (GKE), Google Cloud Storage (GCS), Big Query, Cloud SQL & Cloud Spanner, Cloud Functions, Cloud Pub/Sub, Stackdriver (Operations Suite), Cloud IAM & Identity Services, Cloud Deployment Manager & Terraform for GCP
  • Programming/Scripting Languages
  • Java 8, Python, NET, Groovy, YAML, Bash, Shell/Perl Script, Nodejs, J2EE, Ruby, SQL, PL/SQL, jQuery, JavaScript
  • Technologies & frameworks
  • CI/CD, Docker, AWS, EC2, S3, Lambda, Groovy, Jenkins, Kubernetes
  • Web Servers
  • Apache Tomcat, Nginx, WebSphere, JBOSS, WebLogic
  • Version Control Tools
  • SVN, GIT, GitOps, GitHub, GitLab, Bitbucket
  • Tracking Tools
  • JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle Repositories Artifactory, Nexus
  • Build/Release (CI/CD)
  • Chef, Puppet, Ansible, Jenkins, Kubernetes, Azure, Cloud Foundry, Circle CI, TeamCity, Maven, ANT, Git, SVN, TFS, Atlassian Jira, Selenium, Nexus, J Frog, Docker
  • Automation Tool
  • Ansible, Terraform, ARM templates
  • Deployment Tools
  • Azure DevOps Server, Octopus, Spinnaker
  • Monitoring Tools
  • Nagios, Splunk, ELK, CloudWatch, Azure Monitor, Prometheus, New Relic, Grafana, Zabbix
  • Container Tools
  • Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, AWS ECS, KubeVela, Trivy, Ranccher, Knative, Fannal, Calico, SYSDIAG
  • Tomcat, APACHE 2x, 3x, JBoss 4x/5x, Web Logic (8/9/10) & Web Sphere 40/50
  • Application Servers
  • Web logic, Web sphere, Apache Tomcat, Nginx, Oracle application server
  • Networking/Protocol
  • TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP
  • Operating Systems
  • Linux (RedHat CENTOS), Unix, Solaris 11/10/9/8, Ubuntu 12/13/14, Windows NT, Windows MacOS, RHEL
  • Scripting
  • Python, YAML, Ruby, PHP, Bash, PowerShell, JSON, Shell Scripting, C, C, XML, PL/SQL, HTML, PERL, Net, Gradle, Groovy
  • Database
  • My SQL, MS SQL, Oracle, Dynamo DB, Cassandra, Mongo DB 7 SQL Server
  • Environment:
  • Red Hat Linux 5/6, VM Templates, DNS, NIS, NFS, NTP, SAP, Samba, SNMP, DHCP, RPM, YUM, UP2DATE, VMware ESX, Vsphere, Oracle 10g/11g, Vmotion, VCenter 50, Shell scripting, Perl, Grub, PXE boot, Kickstart, LVM, Boot from SAN

Certification

Certified AWS Solution Architect Professional Microsoft Certified Azure Administrator Microsoft Certified Developer Associate Certified Terraform Associate Certified Kubernetes Administrator Certified Google Cloud Architect Certified RedHat Linux Administrator and Ansible Automation

Additional Information

  • Architecting and implementing various Azure services, including storage, IIS, Active Directory, Resource Manager, VMs, SQL Database, Functions, Service Fabric, Monitor, and Service Bus. Worked on Azure services backup/restore, Virtual Networks, subnets, network settings, DHCP, DNS, security policies, and routing. Knowledgeable about Azure scalability, building VM availability sets, and Virtual Machine Scale Sets using Azure Resource Manager. Technical proficiency in Kubernetes, Golang for Microservices, and deploying applications on Kubernetes clusters. Implemented Serviceability and Observability using Prometheus/Grafana for Kubernetes workloads (GKE), Cloud Build, and AWS Compute Nodes. Utilized DevSecOps toolchain for security, TLS, MFA, OAuth, ESG, Secrets, Network Layer Scans, Application Hardening, Storage FS, Vault, Key Management, NACL, and WAF with Kong Gateway. Developed Python code for CI/CD Code integration and created a microservice for extracting data from PostgreSQL and sending it to AWS S3 using Go. Experience with Azure Kubernetes Service (AKS) and creation of pods and services using Master and Minion architecture in Kubernetes. Proficient in using Helm charts for Kubernetes applications, managing Kubernetes manifest files, and deploying releases of Helm packages. Deployed K-Native tool and implemented APIs for Kubernetes objects via KubeVela. Implemented AWS Database Migration services (DMS) for complex data workloads and data migration pipelines from On-Prem to AWS Cloud. Extensive experience in Linux and Unix Administration across various versions and flavors. Hands-on experience with AWS services such as EC2, EBS, EFS, NACL, VPC, RDS, SES, ELB, Auto scaling, CloudFront, Cloud Formation, Elastic Cache, API Gateway, Route 53, and Cloud Watch. Built CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy, and Code Pipeline, and used AWS CloudFormation, API Gateway, and Lambda for automation and infrastructure security. Transformed existing AWS infrastructure to Serverless architecture (AWS Lambda, AWS Kinesis). Managed Docker containers in Kubernetes services like GKE, Azure Kubernetes, and AWS Elastic Container Service. GCP experience with Cloud IAM, GCP WAF, NLB, Compute Engine, App Engine, Storage Engine, GKE, Cloud Functions, Backup & Disaster Recovery, API Integration Services, and Control Plane Sync. Implemented and configured Serviceability and Observability via Prometheus/Grafana for Kubernetes workloads (EKS), Cloud Build, and AWS Compute Nodes. Set up Azure Core Services across landing zone/topology with service principal, Azure AD, Resource Groups, V-Nets, Virtual Machines, VMSS, Storage Accounts, KeyVault, Private Endpoints, Linked services, Service Accounts, Azure Web/Logic Apps, Compute Services, Network Policies, Azure Monitor, Azure App Insights. Expertise in migration of Production Workloads from On Prem to Azure Cloud via Lift & Shift, Re-architecture to Microservices topology on Containers, Azure Services, Virtual Machines, VMSS. Implemented RBAC guardrails for Azure Infrastructure, Platform, and Software Services. Managed Encryption at Rest/Transit for Key Vaults, Certificates Hardening structure. Designed, handled, and managed IOT, Layer Protocols, Security Layers including Data at Rest/Transit modules via Encryption, Event triggers via Azure Functions, and documentation model hosted on Azure Cosmos DB. Implemented Azure HD Insight Clusters, DataBricks, HIVE, HIVE LLAP, Oozie, HDFS, Azure Data Lake Store, Azure Data Factory, OMS, APIM Services, and Domain Join Clusters. Expertise in Azure Scalability and Availability, building VMs availability sets using Azure portal, Virtual Machine Scale Sets using Terraform, Azure Resource Manager (ARM), and PowerShell Deployments.

Timeline

Sr. Cloud DevOps Engineer

American Express, Dr
04.2022 - Current

AWS/DevOps Engineer

CVS Health
11.2020 - 03.2022

Cloud/ DevOps Engineer

Southwest Airlines, 2702 Love Field
10.2019 - 10.2020

DevOps/SRE Engineer

Hewlett Packard Enterprise
06.2017 - 09.2019

Build & Release Engineer

Hilniva Software Solutions
10.2014 - 06.2016

Linux System Admin

Hilniva Software Solutions
07.2013 - 09.2014

Master of Science - Computer Science

University of Illinois At Springfield

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Rehan Sayyed