About
A Cloud enthusiastic team player having around 10+ years of Experience in IT industry as a DevOps Engineer with proven expertise in Automation, Build/Release Engineering and Software development involving cloud computing platforms like Amazon Web Services (AWS), Azure and Google Cloud (GCP). Extensively worked on AWS Cloud services like EC2, VPC, IAM, RDS, ELB, EMR, ECS, Auto - Scaling, S3, Cloud Front, Glacier, Elastic Beanstalk, Lambda, Elastic Cache, Route53, Ops Works, CloudWatch, CloudFormation, RedShift, DynamoDB, SNS, SQS, SES, Kinesis Firehose, Lambda, Cognito IAM. Provisioning AWS EC2 instances with Auto scaling groups, Load Balancers in a newly defined VPC and used Lambda Functions to trigger events in accordance to the requests for DynamoDB. Experience in changing over existing AWS infrastructure to Server less architecture (AWS Lambda, Kinesis) through the creation of a Serverless Architecture using Lambda, API gateway, Route53, S3 buckets. Experience in designing a Terraform and deploying it in cloud deployment manager to spin up resources like cloud virtual networks, Compute Engines in public and private subnets along with AutoScaler in Google Cloud Platform. Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP. Experience in providing highly available and fault tolerant applications utilizing orchestration technologies like Kubernetes and Apache Mesos on Google Cloud Platform. Experience in Blue/green deployment strategy by creating new applications which are identical to the existing production environment using CloudFormation templates & Route53 weighted record sets to redirect traffic from the old environment to the pristine environment via DNS. Experience in working on ELK architecture and its components like Elastic search, Log stash and Kibana. Handled installation, administration and configuration of ELK stack on AWS. Configure ELK stack in conjunction with AWS and using Logstash to output data to AWS S3. Expertise in creating Kubernetes cluster with CloudFormation templates and deploy them in AWS environment and monitoring the health of pods using Helm Charts. Expertise in setting up Kubernetes (k8s) clusters for running microservices and pushed microservices into production with Kubernetes backed Infrastructure. Development of automation of Kubernetes clusters via playbooks in Ansible. Experience in using tools like Docker Compose, Kubernetes, for Orchestrating and deploying the services related to the Containers and with container-based deployments using Docker, working with Docker images, Docker hub. Expertise in virtualization of servers using Docker, running Docker Swarm, worked with Docker Engine and Docker Machine, to deploy the micro services-oriented environments, and configuration automation using Docker containers. Proficient in using Docker swarm and Kubernetes for container orchestration, by writing Docker files and setting up the automated build on Docker HUB. Expertise in writing Ansible Playbooks from scratch using YAML functions and utilizing setup and automate the CI/CD pipeline and deploy microservices. Provisioned load balancer, auto-scaling group and launch configuration for microservices using Ansible. Experience in working with Ansible Tower to manage multiple nodes and manage inventory for different environments and automated the cloud deployments using Ansible, and AWS CloudFormation Templates. Expertise in deploying Ansible playbooks in AWS environment using Terraform as well as creating Ansible roles using YAML. Used Ansible to configure Tomcat servers and maintenance. Experience in Deploying and configuring Chef server including bootstrapping of Chef-Client nodes for provisioning and created roles, recipes, cookbooks and uploaded them to Chef-server , Managed On-site OS, Applications, Services, Packages using Chef as well as AWS for EC2 , S3 , Route53 and ELB with Chef Cookbooks. Highly proficient in configuring Chef to build up services and applications on the instances once they have been configured using CloudFormation and written ruby scripts for chef automation. Tested Chef Cookbook modifications on cloud instances in AWS, using test Kitchen, ChefSpec and utilized Ohai to collect attributes on the node.
Skills & Expertise
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Azure
Terraform
CloudFormation
VPC
IAM
S3
Elastic Beanstalk
CloudFront
Redshift
Lambda
Kinesis
DynamoDB
Direct Connect
Storage Gateway
DMS
SMS
SNS
SWF
Linux (Red Hat, CENTOS & SUSE)
Ubuntu
Solaris
DEBAIN
HP-UX
Windows
Shell Scripting
Groovy
Python
Ruby
Perl
Power Shell
Yaml
GIT
GITHUB
GitLab
Subversion (SVN)
Bitbucket
Maven
Gradle
Sonar
Nexus
Ant
AWS ECS
Docker
Kubernetes
Mesos
WebSphere Application Server
Apache Tomcat
JBoss
WebLogic
Nginx
Chef
Puppet
Ansible
Jenkins
Kubernetes
Docker swarm
Apache Mesos
Marathon
Google Cloud Engine
TCP/IP
DNS
DHCP
Cisco Routers/Switches
WAN
LAN
FTP/TFTP
SMTP
Nagios
AWS CloudWatch
Splunk
ELK
JIRA
Bugzilla
Red Mine
Compute Engine
Cloud load balancing
Cloud storage
Cloud SQL
Stack driver monitoring
Cloud deployment manager
Cloud bees
GKE Topology Diagram
masters
slave
RBAC
helm
kubectl
ingress controllers
Jenkins file
EBS
Route53
SNS
SES
SQS
CloudWatch
CloudTrail
Security Group
Auto scaling
RDS
Boto3
AWS CLI
IaaS
Replication Controllers
Kubernetes API server
Docker-maven-plugin
maven pom
Docker file
Docker images
Docker container snapshots
Docker volumes
Docker-Compose
Docker-Machine
Vagrant
Ansible Tower
MAVEN
Nexus
Gradle script
Groovy DSL
ANT
Nginx
Apache Tomcat Server
Azure Active Directory
Office 365
Dropbox
Azure Role-based Access Control (RBAC)
Prometheus
AWS EC2 command line clients
AWS management console
SVN
Subversion Branching
Merging
tagging
GitHub
Ansible Playbooks
Roles
Amazon Machine Images (AMI)
Jenkins
Maven
Linux
Git
JIRA
Docker Images
Docker containers
Kubernetes Cluster
Kubernetes
Prometheus tool
GIT
SVN
Jenkins
AWS EC2
AWS management console
Jenkins
Deployment
QA
Staging
Production
GIT
SVN
Integration
Sys. Test
UAT
Performance/ Tech. Test
Training & Staging
Production
Ansible
EC2 instances
CPU
Memory Usage
EC2 Security Groups
VPC
Jenkins
Continuous Integration
Continuous Inspection
Continuous Testing
Continuous Monitoring
Continuous Delivery
Release Environments
WEB
APP
AWS IAM
Security Group
Public Subnets
Private Subnets
VPC
Subversion Branching
Merging
tagging
Ansible
continuous integration
EC2 instances
CPU
Memory Usage
EC2 Security Groups
VPC
DevOps process strategy
DevOps methodology
DevOps culture
Continuous Integration
Continuous Inspection
Continuous Testing
Continuous Monitoring
Continuous Delivery
Release Environments
Jenkins
Maven
Linux
Git
JIRA
AWS EC2
AWS management console
AWS
EC2
Cloud watch
IAM cloud
MAVEN
Git repositories
branching
forks
tagging
notifications
GitHub
Terraform
Ansible
AWS
EC2 Virtual Servers
public cloud
AWS Auto-scaling
Amazon Machine Images (AMI)
Ansible Playbooks
Roles
Jenkins
Maven
Linux
Git
JIRA
Docker Images
Docker containers
Kubernetes Cluster
Kubernetes
Docker
Kubernetes
containers
container snapshots
images
Kubernetes
Prometheus tool
WebLogic Server 11g
Load Balancers
WLST
Apache Tomcat 7.x
Virtualization
Apache HTTP server 2.4
Nginx
LDAP
JDK1.7
XML
GitHub
Nagios
Splunk
Cassandra
Kafka
Blue/green deployment
S3
RDS
EBS
Elastic Load Balancer
Auto-scaling groups
EC2 instances
optimized volumes
AWS CloudFormation Templates
AWS CLI
AWS API
EC2
S3
VPC
CloudWatch
ELB
Auto-scaling
python script
AWS API Calls
IAM
Security Groups
Public Subnets
Private Subnets
VPC
IAM accounts
MFA
IAM policies
security audit
compliance requirements
AWS S3 bucket
versioning
S3 lifecycle policies
web hosting
Terraform
infrastructure as code
execution plans
resource graph
change automation
Elasticsearch
Logstash
Kibana (ELK)
log analytics
full-text search
application monitoring
AWS Lambda
CloudWatch
Azure Active Directory
single sign-on access
cloud SaaS applications
Office 365
Dropbox
Azure Role-based Access Control (RBAC)
segregate duties
Docker containers
Docker files
container-based deployments
Docker
Docker images
Docker Hub
Docker-registries
Kubernetes
Chef Infra
bootstrapping nodes
creating
uploading recipes
node convergence
Chef SCM
Kubernetes
DEV
TEST
PROD
production ready
load balanced
highly available
fault tolerant
auto scaling
Kubernetes AWS infrastructure
microservice container orchestration
Kubernetes
pods
replication controllers
deployments
labels
health checks
ingress
YAML files
Jenkins
pipelines
Docker-registry
Kubernetes
Pods
Workstation
Bootstrapped Nodes
Recipes
Cookbooks
Chef Server
OS Applications
Services
Packages
Chef
AWS
EC2
S3
ELB
Chef Cookbooks
Ansible setup
managing hosts file
YAML linter
authoring various playbooks
custom modules
Ansible
inventory
continuous deployment
YAML scripting
Terraform templates
Chef cookbooks
Chef
EC2 Instances
Gateway time issue
ELB
S3 Bucket
Terraform
ELK stacking
logs
detailed analysis
dashboarding
Elastic
Logstash & Kibana (ELK)
real time logging
analytics
Continuous delivery pipelines & applications
ELK stack
AWS
Logstash
AWS S3
Elasticsearch disk space usage
automating Elasticsearch maintenance
Jenkins
cloud deployment
Chef
Python
AWS CloudFormation Templates
Chef
AWS
Chef Cookbooks
Ruby Script
Infrastructure
environments
Python Script
Chef Workstation
bootstrapping
enterprise nodes
keys
AWS resources
cloud
Continuous Integration
Continuous Deployment (CI/CD)
fast-paced robust application development environment
Chef Cookbooks
Ruby Script
Infrastructure
environments
Python Script
Jenkins
Maven
Linux
Git
JIRA
AWS
AZURE
Chef
Docker
Ansible
Jenkins
Terraform
Kubernetes
ANT
Maven
Ruby
Shell
Python
WebLogic Server 11g
Load Balancers
WLST
Apache Tomcat 7.x
Virtualization
Nginx
LDAP
JDK1.7
XML
GitHub
Nagios
Splunk
AWS
EC2
Cloud watch
IAM cloud
MAVEN
Git repositories
branching
forks
tagging
notifications
GitHub
Terraform
Ansible
AWS
EC2 Virtual Servers
public cloud
AWS Auto-scaling
Amazon Machine Images (AMI)
Ansible Playbooks
Roles
Jenkins
Maven
Linux
Git
JIRA
Docker Images
Docker containers
Kubernetes Cluster
Kubernetes
Docker
Kubernetes
containers
container snapshots
images
Kubernetes
Prometheus tool
AWS EC2 command line clients
AWS management console
Jenkins
Deployment
QA
Staging
Production
GIT
SVN
Integration
Sys. Test
UAT
Performance/ Tech. Test
Training & Staging
Production
Ansible
EC2 instances
CPU
Memory Usage
EC2 Security Groups
VPC
Jenkins
Continuous Integration
Continuous Inspection
Continuous Testing
Continuous Monitoring
Continuous Delivery
Release Environments
WEB
APP
AWS IAM
Security Group
Public Subnets
Private Subnets
VPC
Subversion Branching
Merging
tagging
Ansible
continuous integration
EC2 instances
CPU
Memory Usage
EC2 Security Groups
VPC
DevOps process strategy
DevOps methodology
DevOps culture
Continuous Integration
Continuous Inspection
Continuous Testing
Continuous Monitoring
Continuous Delivery
Release Environments
Jenkins
Maven
Linux
Git
JIRA
AWS EC2
AWS management console
AWS
EC2
Cloud watch
IAM cloud
MAVEN
Git repositories
branching
forks
tagging
notifications
GitHub
Terraform
Ansible
AWS
EC2 Virtual Servers
public cloud
AWS Auto-scaling
Amazon Machine Images (AMI)
Ansible Playbooks
Roles
Jenkins
Maven
Linux
Git
JIRA
Docker Images
Docker containers
Kubernetes Cluster
Kubernetes
Docker
Kubernetes
containers
container snapshots
images
Kubernetes
Prometheus tool
Research Interests
Team player
Cloud enthusiast
Automation
Build/Release Engineering
Software development
Highly available
Fault tolerant
Connect With Me
Experience
Senior DevOps/Cloud Engineer SRE
Worked on google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage, cloud SQL, stack driver monitoring and cloud deployment manager. Worked with DE Pipeline Enterprise core Jenkins Team in AWS Set up a GCP Firewall rules in order to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency. Supported on building dotnet core application containerizing and deploying to Kubernetes EKS Maintaining the .net dependencies in nugget repository Worked on implementing tool Cloud bees to automate deployments and testing in AWS Worked on creating new pipelines for Continuous deployment and Release Orchestration using Cloud bees Implemented a Continuous Delivery framework using Jenkins and Maven in Linux environment. Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers Worked on Jenkins file with multiple stages like checkout a branch, building the application, testing, pushing the image into GCR, Deploying to QA3, Deploying to QA9, Acceptance testing and finally Deploying to Prod Responsible for Setup and build AWS infrastructure using resources VPC, EC2, S3, RDS, DynamoDB, IAM, EBS, Route53, SNS, SES, SQS, CloudWatch, CloudTrail, Security Group, Auto scaling and RDS using CloudFormation templates. Deploy and monitor scalable infrastructure on Amazon web services (AWS) and configuration management instances and Managed servers on the Amazon Web Services (AWS) platform using Chef configuration management tools and Created instances in AWS as well as migrated data to AWS from data Center. Involved in design and deployment of a multitude of Cloud services on AWS stack such as EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM, while focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation Developed strategy for cloud migration and implementation of best practices using AWS services like database migration service, AWS server migration service from On-Premises to cloud. Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS CloudWatch / Splunk and assigned AWS elastic IP addresses to work around host or availability zone failures by quickly re-mapping the address to another running instance Provisioned the highly available EC2 Instances using Terraform and CloudFormation and wrote new python scripts to support new functionality in Terraform. Worked in CloudFormation to automate AWS environment creation along with the ability to deploy AWS using bill scripts (Boto3 and AWS CLI) and automate solutions using python and shell scripting Managed AWS infrastructure as code (IaaS) using Terraform. Expertise in writing new python scripts in order to support new functionality in Terraform. Provisioned the highly available EC2 Instances using Terraform and CloudFormation and Setting up the build and deployment automation for Terraform scripts using Jenkins Designed AWS CloudFormation templates to create custom sized VPC, to set up IAM policies for users, subnets, NAT to ensure successful deployment of Web applications, database templates and Security groups Managed Docker orchestration and Docker containerization using Kubernetes. Used Kubernetes to orchestrate the deployment, scaling, and management of Docker Containers Created and deployed Kubernetes pod definitions, tags, labels, multi-pod container replication. Managed multiple Kubernetes pod containers scaling, and auto-scaling. Deployed pods using Replication Controllers by interacting with Kubernetes API server defining through declarative YAML files. Implementation of new tools such as Kubernetes with Docker to assist with auto-scaling and continuous integration (CI) and Upload a Docker image to the registry so the service is deployable through Kubernetes. Use the Kubernetes dashboard to monitor and manage the services. Worked on installing, configuring and managing Docker Containers, Docker Images for Web Servers and Applications and Implemented Docker -maven-plugin in and maven pom to build Docker images for all microservices and later used Docker file to build the Docker images from the java jar files Created Docker images using a docker file, worked on Docker container snapshots, removing images and managing Docker volumes and also virtualized servers in Docker as per QA and Dev-environment requirements and configured automation using Docker containers Configuring with different artifacts to make an image and deploy Docker image to install the application on an instance, maintain and troubleshoot for any user issues or network problems Worked on Docker-Compose, Docker-Machine to create Docker containers for testing applications in the QA environment and automated the deployments, scaling and management of containerized applications Installed and Implemented Ansible configuration management system. Used Ansible to manage Web applications, Environments configuration Files, Users, Mount points, and Packages also Worked with automation/configuration management using Ansible and created playbooks in YAML to automate the development processes. Implemented Infrastructure automation through Ansible for auto-provisioning, code deployments, software installation and configuration updates. Add required images to Vagrant and create servers out of Images for testing and Automated infrastructure build-out and systems provisioning using Ansible and Ansible Tower Designed fully automated server build management, monitoring, and deployment by using Ansible playbooks using Ansible role created an ELK cluster for non-log purposes to search and analytics of product and pricing data Developed build and deployment scripts using MAVEN as build tools in Jenkins to move from one environment to other environments and Supporting Maven multi-module builds and store artifacts in a remote repository in artifacts Worked on writing Jenkins build a pipeline with Gradle script and Groovy DSL (Domain Specific Language) and integrating ANT/MAVEN build scripts with Gradle for the sole purpose of continuous build. Built and maintained ELK stack to centrally collect logs that are used to monitor applications also Installed, monitored and configured Applications in Nginx and Apache Tomcat Server and establish connectivity to databases and troubleshoot issues on the fly. Good understanding of the principles and best practices of software configuration management (SCM) in agile, scrum and waterfall methodologies. Worked on writing multiple Python, Ruby, and Shell scripts for various companywide tasks Well versed with Software development (SDLC), Test life cycle (STLC), and Bug life cycle and worked with testing methodologies like a waterfall and the agile methodology (SCRUM) with an in-depth understanding of the principles and best practices of Software Configuration Management (SCM).
Senior DevOps/Cloud Engineer SRE
Worked with AWS services using S3, RDS, EBS, Elastic Load Balancer, and Auto-scaling groups, EC2 instances with optimized volumes and achieved cloud automation and deployments using Chef, python, and AWS CloudFormation Templates. Worked with AWS CLI and AWS API to manage resources on AWS for many services such as an EC2, S3, VPC, CloudWatch, ELB, Auto-scaling, created python script using AWS API Calls to manage all resources deployed on AWS. Configured AWS IAM and Security Groups in Public and Private Subnets in VPC Managed IAM accounts (with MFA) and IAM policies to meet security audit & compliance requirements. Provided high durability of the available data using data storage in the AWS S3 bucket, versioning S3 lifecycle policies. Also, web hosting the data from the S3 bucket by creating URLs. Terraform as infrastructure as code, execution plans, resource graph and change automation. Managed AWS infrastructure as code using Terraform. Deployed and configured Elasticsearch, Logstash, and Kibana (ELK) for log analytics, full-text search, application monitoring in integration with AWS Lambda and CloudWatch. Led implementation of Azure Active Directory for single sign-on access to thousands of cloud SaaS applications like Office 365, Dropbox. Also configured Azure Role-based Access Control (RBAC) to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs.. Configuring the Docker containers and creating Docker files for different environments. Worked with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes. Setting up Chef Infra, bootstrapping nodes, creating and uploading recipes, node convergence in Chef SCM. Created private cloud using Kubernetes that supports DEV, TEST, and PROD environments. Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes AWS infrastructure and microservice container orchestration. Creating clusters using Kubernetes and worked on creating many pods, replication controllers, deployments, labels, health checks and ingress by writing YAML files. Used Jenkins and pipelines to drive all micro-services builds out to the Docker-registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes. Installed Workstation, Bootstrapped Nodes, Wrote Recipes and Cookbooks and uploaded them to Chef Server, Managed On-site OS Applications, Services, Packages using Chef as well as AWS for EC2, S3 & ELB with Chef Cookbooks. Worked on Ansible setup, managing hosts file, Using YAML linter, authoring various playbooks and custom modules with Ansible. Created inventory in Ansible for automating the continuous deployment and wrote playbooks using YAML scripting. Written Terraform templates, Chef cookbooks pushed them onto Chef for configuring EC2 Instances and Solved Gateway time issue on ELB and moved all the logs to S3 Bucket by using Terraform. Used ELK stacking to monitor the logs for detailed analysis and worked on dashboarding using Elastic, Logstash & Kibana (ELK) and to setup real time logging and analytics for Continuous delivery pipelines & applications. Configured ELK stack in conjunction with AWS and using Logstash to output data to AWS S3 and reduced Elasticsearch disk space usage by 66% by automating Elasticsearch maintenance using Jenkins. Automated the cloud deployment using Chef, Python, and AWS CloudFormation Templates. Used Chef for unattended bootstrapping in AWS. Responsible for managing AWS resources in the cloud and maintain Continuous Integration and Continuous Deployment (CI/CD) pipeline for fast-paced robust application development environment. Created Chef Cookbooks and wrote recipes in Ruby Script to install and configured Infrastructure across environments and automated the process using Python Script. Involved in Setting up Chef Workstation, bootstrapping various enterprise nodes, setting up keys.
Senior DevOps Engineer
Worked on AWS and EC2, Cloud watch, IAM cloud for provisioning and managing infrastructure through automation. Used MAVEN as a build tool on java projects for the development of build artifacts on the source code. Interacted with client teams to understand client deployment requests. Deployed and configured Git repositories with branching, forks, tagging, and notifications. Experienced and proficient deploying and administering GitHub. Designing and implementing for fully automated server build management, monitoring and deployment By Using DevOps Technologies like Terraform and Ansible. Integration of Configuration Management Systems like Ansible with AWS for code deployment. Launched Different EC2 Virtual Servers in public cloud using AWS Auto-scaling and prebaked Amazon Machine Images (AMI) through Ansible Playbooks and Roles. Managed the configurations of multiple servers using Ansible. Implemented a CI/CD framework using Jenkins, Maven in Linux environment and Integration of Maven/Nexus, Jenkins, Git and JIRA. Build Docker Images and ran containers in the testing Environment Experience with Kubernetes Cluster for orchestration of Docker containers. Experience on working with Docker and Kubernetes for maintaining and administration of containers. Used Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts. Experience in working with Kubernetes, running/managing containers, container snapshots and managing images. Experience in monitoring Kubernetes using Prometheus tool.
Associate Devops Consultant
Created and managed cloud VMs with AWS EC2 command line clients and AWS management console. Developed strategies and supported tools to create an efficient automated integration and release process using Jenkins. Continuous Delivery is being enabled through Deployment into several environments of Deployment, QA, Staging and production using Jenkins. Responsible for user management, plugin management and End to End automation of build and back up and recovery process in Jenkins. Deploy and monitor scalable infrastructure on Amazon web services (AWS) configuration management. Responsible for Continuous Integration(CI) and Continuous Delivery(CD) process implementation from Dev to SIT, SIT to Pre-Prod/ Pre-Prod to Production systems using Jenkins, GIT, SVN, automation tool. Tracking code migration and testing efforts in all environments (i.e., Integration, Sys. Test, UAT, Performance/ Tech. Test, Training & Staging environments & final migration into Production Environment.
Quality Assurance Automation Engineer
Configured AWS IAM and Security Group in Public and Private Subnets in VPC. Created and Maintained Subversion Branching, Merging and tagging across each production releases. Assist developers in integrating their code with the main stream. Used the Ansible for app deployment and configuration management. Deployed the generated build to WEB and APP server using the continuous integration process to all Environments. Evaluating performance of EC2 instances their CPU, Memory Usage and setting up EC2 Security Groups and VPC. Major responsibilities include design, ownership, and drive the DevOps process strategy and implementation and develop DevOps methodology and culture by setting up an environment with continuous integration, continuous inspection, continuous testing, continuous monitoring, and continuous delivery using Jenkins. Responsible for Design and architecture of different Release Environments for new projects.
Education
ICFAI University Agartala
University of Chicago Booth School of Business
Certificates & Licenses (8)
Harshicop Terraform certified Associate
Oracle Certified Professional, Java ME 1 Mobile Application Developer
Oracle Certified Professional, Java EE 5 Business Component Developer
Oracle Certified Professional, Java EE 5 Web Component Developer
oracle Solaris 10 Security Administrator
Oracle Solaris 10 Network Administrator
Oracle Certification Validation
AWS certification validation
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