Devops Engineer Change Management
Resume:
MST Sumaiya Shimu
Sr. DevOps Engineer
**********@*****.***
Professional Summary
With more than 7+ years of experience in the IT industry, I have successfully delivered highly available business applications to enterprise customers in various roles, including Build Management and Release, Change Management, System Administration, Support, and Maintenance. Throughout my career, I have developed expertise in working with environments like Red Hat Enterprise Linux and CentOS. My primary focus has been on automating build and deployment processes using DevOps tools like Docker,AWS, GCP and Azure Cloud Architecture.
I have 6 years of experience in DevOps Engineering and 1 years as a Linux Administrator and Build and Release Engineer. I am skilled in utilizing Docker for automating application deployment using software containers and virtualized deployments. This includes working with Docker images, Docker Hub, and Docker registries.
Proficient in containerization technologies like Docker and experienced with container orchestration platforms beyond Kubernetes, including Docker Swarm or Apache Mesos, as well as Azure and AWS. Well-versed in utilizing container observability and logging tools within the Kubernetes ecosystem, such as Prometheus, Grafana, and Fluentd.
My experience includes configuring Amazon EC2 instances behind load balancers, monitoring their health, deploying instances through command line calls, and troubleshooting common problems.
Alongside these capabilities, I have also gained experience in Azure-related technologies. This includes managing Azure resources using Azure Resource Manager (ARM) templates, deploying and managing Azure Virtual Machines (VMs), configuring Azure networking services such as Virtual Networks and Network Security Groups (NSGs), and utilizing Azure Storage for data management.
I have worked with Azure Kubernetes Service (AKS), deploying containerized applications to AKS clusters and ensuring their smooth operation. Additionally, I possess knowledge in Azure DevOps and Azure Pipelines, enabling the implementation of efficient CI/CD workflows for Azure-based applications and infrastructure.
I have successfully designed and implemented CI/CD pipelines, ensuring end-to-end automation from code check-in to artifact deployment.
In terms of infrastructure, I have set up and built various AWS resources, including VPC, EC2, RDS, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS, using CloudFormation JSON templates.
Hands-on proficiency in migrating to Google Cloud Platform (GCP) using native tools like BigQuery, Cloud Dataproc, Google Cloud Storage, and Composer.
Practical understanding of data modeling concepts, specializing in Star Schema Modeling, Snowflake Schema Modeling, and designing Fact and Dimension tables.
Extensive experience in developing data marts and warehouse designs using distributed SQL concepts, Presto SQL, Hive SQL, Python (Pandas, NumPy, SciPy, Matplotlib), and PySpark for managing large-scale data volumes.
Proficient in various programming languages, with a focus on Python, and a keen interest in staying updated on the latest technological stacks introduced by Google Cloud Platform (GCP).
I have a comprehensive background in the DevOps domain, which includes improving the Continuous Delivery (CD) process and managing infrastructure changes using various tools such as Chef, Ansible, Kubernetes, and Docker. Additionally, I have hands-on experience with Git and Jenkins for code deployment purposes.
I am proficient in administrating Continuous Integration (CI) tools like Jenkins, including setting up product level builds and running integration, box, and system tests.
Extensive experience in creating and managing repositories on GitHub and Bitbucket, including initializing repositories, branching, merging, and resolving conflicts.
Skilled in configuring and managing Git hooks and webhooks to automate actions and trigger build processes based on repository events.
Cloud implementations using AWS and Azure have been a significant part of my work, involving tasks like code compilation, packaging, debugging, automating, managing, tuning, and deploying code across multiple environments.
I have extensive experience in creating infrastructure as code using Terraform, defining infrastructure components, modules, and dependencies to establish complete environments.
Additionally, I have automated the deployment and management of infrastructure using Terraform, creating and maintaining Terraform templates for provisioning servers, databases, and networking resources.
My experience includes managing Kubernetes using Helm charts, creating reproducible builds, template Kubernetes manifests, and customizing deployments and releases of Helm packages.
I have developed a CI/CD system with Jenkins on Kubernetes container environments, utilizing Kubernetes and Docker for the runtime environment to build, test, and deploy.
Responsibilities have included creating Docker images, deploying them to Kubernetes clusters, and ensuring their smooth operation.
Actively contribute to open-source projects on GitHub and actively participate in the developer community by creating and sharing code repositories.
SQL scripting, ELB setup, Docker containerization, security implementation, and working with Ansible, Puppet, and Chef are some other areas where I have gained expertise.
I have also been involved in migrating workloads to Azure using Azure Site Recovery and have worked with various scripting languages like Bash, PowerShell, and XML for automation purposes.
Additionally, I have experience with relational and NoSQL databases such as MySQL, SQL Server, Oracle, DynamoDB, and MongoDB.
Throughout my career, I have worked closely with project management and development teams, ensuring comprehensive testing through automation and manual tests.
I possess excellent analytical and communication skills, adaptability, and a strong drive to learn and solve complex technical problems.
Familiarity with SDLC practices and Agile Methodology is also part of my skill set.
Education
April 2023- Dec 2024
Washington University Science and Technology:Master’s in Information Technology
Technical Skills
AWS Services
RDS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, Auto Scaling, Cloud Trial, SQS, SNS, SWF, Cloud Watch.
Azure Services
App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB.
GCP Services
Compute Engine, Kubernetes Engine, App Engine, Cloud SQL, Cloud Bigtable, BigQuery, Cloud Dataflow, Dataproc, Identity and Access Management (IAM).
Artifactory
JFrog and Nexus
Web Servers
Nginx, Httpd, IIS
CI/CD
Jenkins, Azure Pipelines, GitHub Actions, GitLab Pipelines
Operating Systems
Microsoft Windows XP/ 2000, Linux, UNIX.
Tracking Tools
Jira
Code Scanning
SonarQube, JFrog X ray, ECR Inspector
Infrastructure
Terraform, Cloud Formation, ARM
Databases
RDS, Cosmos DB, My SQL DB, DynamoDB.
Logging
Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor
Configuration & Automation Tools
Ansible, Puppet.
Container Platforms
Docker, Kubernetes, Open-Shift, Helm.
Monitoring Tools
Nagios, Splunk, Grafana, Prometheus, Zabbix.
Languages
Python, Shell scripting.
Documentation
Confluence
Version Control Tools
Git, Bit bucket, GitHub, GitLab and Azure Repos.
Certification
Microsoft Certified Azure Administrator.
Certified Kubernetes Administrator.
AWS Developer – Associate
Devops Engineering and Cloud Computing.
Experience
January 2025- PRESENT
TaskImpetus Inc,LA– Sr DevOps Engineer
Managed Azure infrastructure such as Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD Licenses for development teams.
Identity & Access Management: Azure Active Directory, Azure Identity, Multi-Factor Authentication (MFA).
Headed up Linux/UNIX/Windows Systems Administration, Networking, and virtualization projects based on large range of Operating Systems and Distributions Including Windows server, Fedora, RedHat, CentOS, Ubuntu, Debian.
Used Azure, Kubernetes Service to deploy a managed Kubernetes cluster in Azure and created an AKS cluster in the Azure portal, with the Azure CLI, also used template driven deployment options such as Resource Manager templates and Terraform. Provisioned EKS clusters in AWS using Terraform and managed the clusters with kubectl.
Led the implementation of Azure infrastructure using Terraform, streamlining resource provisioning, and ensuring consistent and reproducible deployments.
Design roles and groups using Azure Identity and Access Management (IAM).
Automated repetitive tasks such as application deployment, scaling, and monitoring using Ansible, Helm, or other configuration management tools on OpenShift.
Implemented Cloud Solutions using various AWS Services including EC2, VPC, S3, Glacier, EFS, AWS Kinesis, IAM, Lambda, Directory Services, Security-Groups, CloudFront, Ops Work and Cloud Formation, Elastic Beanstalk, RDS, SNS, SQS, SES, DynamoDB, Redshift, EMR, ELB, Route-53 etc.
Configured AWS IAM and Security Groups in Public and Private Subnets in VPC Managed IAM accounts.
Extensively worked with system and network monitoring tool like Nagios, Splunk, Zabbix.
Configured Managed and controlled the source code repository, currently housed in Subversion, GIT.
Created shared NFS file system, mounting and unminting NFS server, NFS client on remote machine, sharing remote file folder, starting &Stopping the NFS services. Buffer incoming events when Splunk process not available using syslog-ng.
Implemented Docker containers to encapsulate and deploy microservices in an AWS project, enhancing scalability and isolating application components for efficient management and scaling.
Utilized Docker in conjunction with Amazon Elastic Container Service (ECS) for orchestrating and managing containers, streamlining the deployment and scaling of applications, ensuring high availability and optimal resource utilization in the AWS environment.
Perform DevOps, including app deployments and QA, database replication, Linux system administration, real-time monitoring, and support.
Proficient in utilizing Terraform to manage and provision infrastructure as code on Amazon Web Services (AWS).
Led the orchestration of AWS resources using Terraform, streamlining the deployment of virtual machines, networking components, and storage solutions.
Achieved cost optimization and resource efficiency by dynamically scaling infrastructure based on demand, utilizing Terraform modules and templates for reusable and maintainable infrastructure code.
Build scripts using ANT and MAVEN build tools in Jenkins to move from one environment to other environments.
Installed Jenkins on a Windows machine and created a master and slave configuration to implement multiple parallel builds through a build farm.
Successful implementation and orchestration of containerized applications on AWS using Kubernetes, optimizing scalability, reliability, and resource utilization, resulting in a more resilient and efficient deployment environment.
Resources like Amazon RDS, Kubernetes cluster which hosts production servers are hosted in private subnets in a VPC, and Security to infrastructure is achieved through NACLs, VPC flow logs, Nat gateways, Bastion Hosts, MFA, LDAP implementation. Migrating Azure teams code bases to Modern engineering system
Puppet automation, installing and configuring Puppet 3.x server and agent setup, developing IHS, Web Sphere MQ 7.0, Web Sphere Application Server Automation, Apache solar 4.x/5.x Jenkins, foremen.
Clustering solutions for High Availability using tools such as VERITAS Cluster Server (VCS), MSCS, and RHCS.
Implemented Boto3 scripts to automate the provisioning and configuration of AWS resources, reducing manual errors and improving deployment efficiency.
Created Infrastructure as Code (IaC) templates using Boto3 and AWS CloudFormation, enabling the team to consistently deploy and manage infrastructure across multiple environments.
Using Jenkins for Adding scripts, building the Suites and analyzing the results
Oversaw production deployments for new code releases from staging to production via GIT/Jenkins.
Involved installing and managing different automation and monitoring tools on RedHat at Linux like Nagios and Puppet.
Experience in monitoring of Azure environment using OMS (Log Analytics) and Azure AppInsights.
Environment: Azure, Terraform, Ansible, YAML, Kubernetes, OpenShift, Azure CLI, Jenkins, AKS, Git, Maven, Splunk, Nagios, Redshift, Ubuntu, CentOS, Python Scripts, Zabbix, RedHat Linux. AWS Cloud (EC2/EMR), Spark, GitHub, Control plane, Kibana, Ant, Postman, Cloud Watch, CI/CD Pipelines, Snowflake.
Feb 2019 - Nov 2021
Tiger IT Bangladesh Ltd - DevOps Engineer
Worked on Microsoft Azure Cloud (Public) to give IaaS support to customer. Make Virtual Machines through Power Shell Script and Azure Portal. Overseen and Created Storage Account and Affinity Group in Azure Portal.
Dealt with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling. Exposed Virtual machines and cloud services in the VNets (Virtual Networks) to the Internet using Azure External Load Balancer.
Involved in Azure infrastructure management (Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure AD Licenses). Provided high availability for IaaS VM's and PaaS instances for access from other services in the VNets with Azure load balancers and implemented Azure classic and Azure ARM for deployment process.
Configured the servers with the New Relic and Sumo logic monitoring and monitored the performance metrics of the production servers.
Created subscription, Storage Account and tables using Windows PowerShell using automation in Azure.
Defined and implemented monitoring processes for uptime, performance, and security for solutions deployed to the Microsoft Azure Cloud. Used ELK for monitoring purposes for LOG analytics and Application monitoring and integrated this with Azure for security purpose we use search guard to protect the logs.
Working with Azure Service Fabric, exclusively to create microservice application, used Stateful partitions with named service and secondary replicas for scalability and availability. Ability to write Shell & Perl scripting.
Used Azure cloud services, Azure storage, Azure active directory, Azure Service Bus and Hybridization Cloud.
Led implementation of Azure Active Directory for single sign on, authentication, authorization and Azure Role-based Access Control (RBAC).
Implemented Azure Kubernetes service to deploy a managed Kubernetes cluster in Azure and create an AKS cluster in the Azure portal, with the Azure CLI.
Led the implementation of Docker containers in an Azure, orchestrating the deployment of microservices architecture. Utilized Docker to encapsulate each microservice, ensuring consistency across development, testing, and production environments.
Implemented infrastructure as code (IaC) using Terraform in an Azure project, automating the provisioning and configuration of resources such as virtual networks, storage accounts, and virtual machines.
Designed and implemented a scalable and modular infrastructure in Azure using Terraform, optimizing resource utilization and improving overall system performance.
Leveraged Terraform modules to encapsulate and reuse infrastructure configurations, enhancing maintainability and reducing the time required for resource provisioning and updates.
Played a key role in optimizing application packaging and deployment by leveraging Docker containers on Azure. Successfully containerized applications, resulting in improved scalability, resource efficiency, and simplified deployment processes, enhancing overall project agility.
Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy. Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
Used Helm charts to package and deploy common applications in Kubernetes.
Used Chef to maintain and manage the existing infrastructure as well and by using ruby/yaml script. Bootstrapped the nodes with chef enterprise servers to store the data in the node.
Implemented RabbitMQ for driving towards better user interactions with our applications as well as between the Microservices
Written wrapper scripts to automate deployment of cookbooks on nodes and running the chef client on them in a Chef-Solo environment.
Used Ansible to deploy applications on all servers through SSH. Gathered required configurations of all servers and maintain the playbooks updated using Ansible. Automated various infrastructure activities like Continuous Deployment and Application Server setup
Experience with Jenkins administration, backups, and plugins. Using master slave configuration maintained various jobs in Jenkins and supported development teams.
Built upstream and downstream jobs in Jenkins to build and deploy onto different environments, worked with Jenkins CLI, manage plugins and Jenkins file.
Performed code commit, revert, checkout and merge operations on GIT and pushed sourced code to GitHub.
Defined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags.
Automated Installation and configuration of Apache Tomcat servers using Python and supported implementations of Kafka and RabbitMQ message servers running Linux and Windows server Installation, Configuring, Deploying, Troubleshooting, Administration and maintenance.
Maintained and Debugged Code to meet the required standards by using SonarQube and used Selenium for testing purposes. Also, monitored system activities to optimize performance and ensure security of systems.
Operating and producing systems design specifications for Linux and Windows based platforms, MS SQL and MySQL.
I have hands on experience in migrating to Google Cloud Platform (GP) using cloud native tools such as BIG query, Cloud Data Proc, Google Cloud Storage, Composer.
Practical understanding of the Data modeling (Dimensional & Relational) concepts like Star - Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables.
I am highly experienced in developing data marts and developing warehousing designs using distributed
SQL concepts, Presto SQL, Hive SQL, Python (Pandas, NumPy, SciPy, Matplotlib) and Pyspark to cope up with the increasing volume of data.
Successfully implemented Docker containers on Google Cloud Platform to package, distribute, and deploy applications consistently across different environments.
Utilized Google Kubernetes Engine (GKE) for orchestrating Docker containers, ensuring scalability, reliability, and ease of management.
Implemented a microservices architecture using Docker containers on Google Cloud Platform, enhancing the modularity and maintainability of the application.
Leveraged Docker Compose for defining and managing multi-container Docker applications, streamlining the development and deployment process.
Spearheaded the implementation and orchestration of Kubernetes clusters in the Google Cloud Platform (GCP) project, optimizing scalability, ensuring high availability, and streamlining containerized applications deployment and management.
Designed and implemented infrastructure as code using Terraform in a Google Cloud Platform (GCP) project, automating the provisioning and management of resources such as virtual machines, storage, and networking components, resulting in increased efficiency, consistency, and scalability of the cloud environment.
Developed and utilized Terraform modules to create reusable, scalable infrastructure components in GCP.
Bash scripting experience and building data pipelines on Unix/Linux systems.
Expert in SSIS Packages to extract, transform and load (EL) data into data warehouse/data marts from heterogeneous sources.
Expertise with different programming languages such as Python.
Very keen in knowing newer techno stack that Google Cloud platform (GCP) adds.
I worked with SAS Enterprise guide and have written numerous passes through Hive SQL queries.
Experience in handling python and spark context when writing Pyspark programs for ETL.
I am familiar in using SQOOP for importing and exporting data from RDBMS to HDFS and Hive.
Diverse experience in all phases of software development life cycle (SDLC) especially in Analysis, Design, Development.
Testing and deploying of applications.
Strong knowledge in data preparation, data modelling and data visualization using Power BI and had experience in developing various reports, dashboards using various Visualizations in Tableau.
Environment: Azure, PCF, Terraform, Maven, Jenkins, Ansible, Azure ARM, Azure AD, Azure Site Recovery, Kubernetes, Python, Ruby, XML, Shell Scripting, PowerShell, Nexus, JFrog Artifactory, Jenkins, Git, Jira, GitHub, Docker, Windows Server, TFS, VSTS, LDAP, Nagios. GCP Cloud Storage, SQL, PL/SQL, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud, Spark, Azure Storage, Azure Database, Azure Data Factory, Azure Analysis Services, Power BI, Data Studio, Tableau, Pandas, NumPy, SciPy, Matplotilb, Shell/Bash, R, GIT, Bash, Linux.
Oct 2017 – Feb 2019
Nano IT World – AWS DevOps Engineer
Architected and implemented an internal investment assessment application in an AWS DevOps environment, leveraging services such as AWS Lambda, AWS API Gateway, AWS DynamoDB, AWS S3, and AWS CloudFormation.
Designed, deployed, and maintained application servers on AWS infrastructure, utilizing services such as AWS EC2, VPC, Lambda, Route53, SQS, IAM, CloudFront and RDS.
Employed AWS DynamoDB for efficient and reliable data storage, allowing for quick retrieval and updates of investment assessment data.
Effectively managed multiple AWS accounts with diverse VPCs for both production and non-production environments, focusing on automation, integration, and cost control.
Proficient in container-based deployments using Docker, working with Docker images, Docker Hub, Docker-registries, and Kubernetes.
I crafted Ansible recipes to facilitate the configuration, deployment, and ongoing maintenance of software components within the existing infrastructure.
Developed build and deployment scripts using Maven, automating the process through Jenkins plugins and facilitating seamless transitions between environments in the build pipeline.
I am proficient in administrating Continuous Integration (CI) tools like Jenkins, including setting up product level builds and running integration, box, and system tests.
Installed and configured monitoring and alerting systems for all CI/CD components.
Assisted individual teams in setting up repositories in GitHub, maintaining their code, and configuring jobs within the CI/CD environment.
Skilled in monitoring servers using tools like Nagios, CloudWatch, and ELK Stack (Elasticsearch, Fluentd, Kibana).
Expertise in resolving version conflicts in Terraform modules and utilizing CloudFormation for deployments to enhance control or overcome missing capabilities.
Proficient in SQL, PL/SQL stored procedures, indexes, materialized views, shell scripting, partitioned and non-partitioned tables, packages, and triggers for optimizing database performance.
Leveraged key features of Terraform, such as Infrastructure as Code, Execution Plans, Resource Graphs, and Change Automation.
Managed users and groups using Amazon Identity and Access Management, performing automation deployments on AWS and integrating Jenkins with AWS for EC2 instance creation.
Managed OpenShift clusters, including scaling AWS app nodes.
Developed Ansible playbooks for configuring various databases, modularizing and optimizing product configuration, and provisioning AWS servers.
Replaced the use of CloudFormation with Terraform to avoid vendor lock-in.
Worked with Red Hat OpenShift platform and AWS to manage Docker containers and Kubernetes clusters using Linux and Bash/Shell scripting.
Integrated Access Gateway with identity providers like AWS SSO for access management and designed policies to control and secure AWS resources and services.
Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) while utilizing configuration management techniques.
Designed and implemented AWS EKS Cluster from scratch using Terraform for a fully functional multi-node cluster.
Applied cloud-agnostic principles by leveraging Boto3 for AWS and transitioning seamlessly to Azure SDKs when working on projects in Azure, showcasing versatility in cloud service utilization.
Utilized Python Libraries like Boto3, NumPy for AWS.
Monitored service deployments and validated services across all environments.
Configured CloudWatch to monitor the performance and health of AWS resources, including EC2 instances, RDS databases, and Lambda functions.
Actively participated in Scrum meetings, reporting progress, and maintaining effective communication with team members and managers.
Environment: AWS Cloud (EC2/EMR), Splunk, Spark, GitHub, Control plane, Kibana, DynamoDB, Postman, Docker, Cloud Watch, OpenShift, Kubernetes, Jenkins, CI/CD Pipelines, Terraform, Snowflake, Python, GIT, Bash, Linux.
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