SUMMARY

• 12 years of Total Experience in Information Technology using DevOps Cloud Technologies and Enterprise Application development frameworks.
• Experienced DevOps engineer responsible for efficient and secure delivery to production environments in cloud/on - premises.
• Canadian Citizen with security clearance for Government cloud deployments.
• Experience working in a fast-paced SaaS environment and creating CI/CD pipelines and deploying monolithic code and microservices to production in an automated way.
• Experience in creating large-scale production infrastructure using AWS platform.
• Experience in collaboration with cross-functional teams - engineers, program management, project management, etc. - to produce the best solutions possible for deployment. for the building of deployable artifacts such as (jar, war & ear) from source code.
• Experience in using Ticketing & Bug tracking tool JIRA.
• Hands-on knowledge in installing and configuring monitoring tool like Prometheus & Grafana
• A team player who can also take the initiative to work individually.
• Highly confident individual and a fast learner in any given area of specification.
• Worked with System Engineers, QA, business, and other teams to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the Building and Deployment.
• Good knowledge of programming concept, OS related issues, Server configuration and builds and release process.
• Ability to learn and master new technologies and to deliver outputs in short deadlines.
• Good understanding on SaaS,PaaS applications.
• Experience in design and development of Web service which includes of handling RESTFUL Web services.

TECHNICAL SKILLS

AWS Services: Kubernetes, EC2, EBS, AMI, S3, CloudFormation, Lambda, Code Pipeline, Code build, Route53, ACM, Load balancers, CloudWatch, IAM, etc.

CI/CD: Jenkins, Deploy hub

Programming Languages: C#, PowerShell, Shell, Bash, python

Source/version Control: SVN, GIT

Configuration Management: Ansible, Terraform

Database: SQL - Server, Oracle, Mongo dB

Virtualization: Docker, VMWare, Hyper-V

Monitoring: Kibana, New Relic, Splunk, Tanium

Other tools and application: F5, NGINX, Artifactory, NSIS, Okta, ServiceNow, JIRA, Confluence, Slack, InstallShield, Thycotic Secret Server, Teams, run deck, Compute, Packer, click up, etc.

Business Intelligence Tools: Informatica, Microsoft Excel, Power BI, SSRS, SSIS, SSRS

Environment: Azure, GCP, Amazon, Big Data, Hadoop, Sap, Hana

CRM: Yardi, Salesforce, ServiceNow etc.

PROFESSIONAL EXPERIENCE

Azure Big Data Architect

Confidential, Living

Responsibilities:

• Provisioning self-hosted containerized agents by using docker containers into AKS Cluster
• Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates using azure devops.
• Implementing PI planning activities using Jira and creating sprint backlog depending on team capacity and load.
• Documenting entire process by using confluence.
• Building Docker Images using kaniko build tool for eliminating docker runtime dependency in aks clusters.
• Designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
• Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana.
• Selenium grid installation into aks cluster using helm charts.
• CSI-driver installation for azure key-vault integration with aks cluster.
• Deploying nginx-Ingress into AKS cluster and deploying ingress rules by configuring DNS names and tls certificates into AKS cluster.
• Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements.
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment.
• Environment: Azure Devops, Azure, power shell, Docker, Kubernete
• Collaborate with other Architects and Engineers building cloud services.
• Collaborate with teams across the business to set standards and best practices.
• Communicating risk assessments.
• Contribute to, influence, or direct a variety of projects concurrently.
• Provide technical governance of projects to ensure adherence with standards.
• Provide technical recommendations to senior management.
• Mentor less senior members of the technology teams.
• Strategy (20%)
• Provide support for creating centers of excellence for cloud services.
• Make formal and informal technical presentations.
• Lead meetings.
• Establish and develop partnerships with strategic vendors.
• Technology (40%)
• Establish, enhance and communicate cloud-native architecture and engineering best practices
• Promote benefits of software development utilizing Agile and DevOps methodologies
• Subject matter expert developing an approach and communicating the corresponding benefits of utilizing AWS and/or Azure to business units
• Understand and in corporate security best practices for the cloud, partnering with internal security team.
• Define processes to best utilize people and tools to solve problems.
• Financial Responsibility (10%)
• Provide financial analysis for technology decisions.
• Devise strategies and architectures to optimize consumption of cloud resources.
• Managing all phases of Build and Release activities, dependency management and deployment strategy in azure cloud.
• Provisioning of new Azure cloud resources through ARM templates.
• Understanding of Cloud concepts - IaaS, PaaS, SaaS.
• Understanding of the following Azure Resources and Services: VMs, Web Apps, Container Registry, Blob Storage, Event Hubs, Key Vault, Application Gateway, API Management, Traffic Manager, AZURE devops.
• Expertise in DevOps, Release Engineering, Configuration Management, Automation. It includes Maven, Jenkins, Chef, Git, GitHub, Docker, Tomcat and Linux etc.
• Strong hands-on knowledge of Designing & implementing Distributed and Centralized version control systems, SCM topics of Branching, Tagging and Merging.
• Managing and supporting different environments in Microsoft Azure cloud.
• Managing and deploying custom scripts.

Environment: Azure Devops, Azure, power shell,Rancher,Vault

Confidential

Responsibilities:

• Managing all phases of Build and Release activities, dependency management and deployment strategy.
• Builds and deploy of code to different environment.
• Provisioning EC2 Instances with Jenkins
• Automation testing using selenium grid with docker on EC2 instance
• Implemented the complete CI-CD pipeline using Jenkins.
• Creating tag, branch & setting up projects & build plans in CI tool (Jenkins).
• Maintenance of ANT&Maven, Shell scripts for safe builds and deploys.
• For on boarding existing application, performing knowledge transition from development team to SCM team on build and deployment process.
• Managing docker Images with Portainer
• Deployed development and QA environment through Docker.
• For new applications, work with development to get the requirements of application build and deployment process.
• Implemented the Release practice and responsible for pushing builds into QA / UAT /Pre-Production/ Production stages.
• Troubleshooting of build errors in Jenkins for both the Software Configuration Mgmt. team and the development team.
• Jenkins was used as continuous integration tool for automation of daily process and used SQL queries to check the data integrity on an Oracle data base.
• Implemented best practices of agile methodology to speed up the delivery process efficiently.
• Managing day to day Build & Release Activities and CM Support.
• Involved in Deployment of the application using AWS EC2 instances
• Responsible for nightly and release builds and regression testing.
• Resolving Build issues.
• Extensively used version controlling tools like Git, SVN.

Environment: Ansible, Python scripts, Ubuntu, Jenkins, Maven, AWS EC2, Docker.

BI Data Consultant

Confidential

Responsibilities:

• Implemented the Release practice and responsible for pushing builds into QA / UAT /Pre-Production/ Production stages.
• Troubleshooting of build errors in Jenkins for both the Software Configuration Mgmt. team and the development team.
• Jenkins was used as continuous integration tool for automation of daily process and used SQL queries to check the data integrity on an Oracle data base.
• Implemented best practices of agile methodology to speed up the delivery process efficiently.
• Managing day to day Build & Release Activities and CM Support.
• Involved in Deployment of the application using Tomcat& Web Logic servers.
• Maintaining and ensuring stringent adherence to quality standards, norms & practices, identifying gaps and taking corrective administrative actions.
• Responsible for nightly and release builds and regression testing.
• Environment of Java, on Linux.
• Resolving Build issues.
• Extensively used version controlling tools like Git, SVN.

Environment: Ansible, Python scripts, Ubuntu, Jenkins, Maven, Tomcat Application Server, Docker.

DevOps engineer

Confidential

Responsibilities:

• Focusing on Data warehousing, Data modeling, Data integration, Data migration, ETL process and Business Intelligence
• Delivering Data warehousing implementations, Data migration and ETL processes to integrate data across multiple sources using Informatica PowerCenter and Informatica Cloud Services.
• Acts as the prime subject matter expert for internal/external stakeholders.Handling all phases of Build activities.
• Monitoring daily builds using continuous integration tool Jenkins.
• Configuring nightly builds for QA environment through CI tool Jenkins
• Debugging compilation and runtime issues in build failures.
• Deployment of different applications on application servers like Tomcat.
• Ensure completeness of release notes and publish release package communication.
• Perform smoke/sanity tests for the applications deployed and also troubleshoot the application for the issues that arise as part of the smoke test.
• Responsible for releasing the product internally.
• Attended daily stand up meetings, bug-scrub meetings, Sprint planning meetings and Weekly release health check-up meetings as best practices of agile environment.

Environment: Shell scripts, Ansible, GIT, Jenkins, Web logic Server.

DevOps engineer

Confidential

Responsibilities:

• Perform technical analysis, level-of-effort estimation, design, development, and implementation of applications with necessary customizations and integration Data Consultant (Risk Management) singtel Singapore 31 Exeter Road, Comcentre Singapore 239732, Republic of Singapore design and implementation of Data Migration processes and components including Data Quality analysis, Master Data Management, Data Retention strategies and workflows.
• Data Cleansing strategies and workflows, Data Augmentation, Data Mapping using logical and physical data models, ETLs for Data Migration strategies and workflows, and Data Reconciliation strategies and workflows.
• Data Analyst SingTel Singapore
• Ensure all database servers are backed up in a way that meets the business’s Recovery Point Objectives (RPO)
• Test backups to ensure we can meet the business’ Recovery Time Objectives (RTO)
• Troubleshoot SQL Server service outages as they occur, including after-hours and weekends
• Configure SQL Server monitoring utilities to minimize false alarms
• Install and configure new SQL Servers, developed SQL scripts.
• Deploy database change scripts provided by third party vendors
• Reporting and Application Support Analyst SingTel Singapore
• Deliver results after thorough research of functional needs by collaborating and communicating with various stakeholders, both internal and external to the company.
• Performs other duties as assigned by management MS Excel, MS Word, MS Access, Crystal Reports, Visual Basic and SQL/Oracle

Environment: Linux, Unix, Windows