Sr. Consultant Resume

SUMMARY:

Over 13 years of IT experience in automating builds and deployment process with recent focus on Devops tools and AWS Cloud Architecture.
Experience in Terraform, Ansible, Docker, Kubernetes, AWS Cloud Formation, GIT, Jenkins, Maven, SBT and Managed Services like EC2, S3, Route53, ELB, EBS.
Experience in managing Kubernetes Platform and Cloudera Single click Hadoop cluster Creation by using Terraform, Ansible, Python & Jenkins pipeline.
Successfully managed and implemented comprehensive IT solutions/strategies using both COTS and Open - Source software
Extensive experience in deployment & managing Microservices on Kubernetes Platform
Experience in creating and managing the Lagom Conductor Cluster and deployed the microservices to the Cluster.

TECHNICAL SKILLS

Cloud: AWS, EC2, EBS, EMR, Redshift, S3, ECS, EKS, IAM, VPC

DevOps: Git, Jenkins, CI/CDTerraform, Ansible, Docker, AWS Cloud Formation, Pipeline Scripting

Platform: EKSKubernetesECS

Big Data: Cloudera Hadoop Distribution, AWS EMRSpark, Kafka, Hive, PrestoHDFS, YARN

Development: Unix Shell ScriptsPythonJenkins pipeline scripting, Maven, sbt

Monitoring: ELK/EFK Stack- Elasticsearch, Logstash/fluentD, KibanaDatadog

Scheduler: Control-MAirflow

Operating System: RHELCentosUbuntu

PROFESSIONAL EXPERIENCE:

Sr. Consultant

Confidential

Responsibilities:

Implemented a production ready, load balanced, highly available, Secured, fault-tolerant Kubernetes infrastructure.
Containerized all the microservices - Scala and SpringBoot Java applications using Docker.
Managed Kubernetes charts using Helm. Created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and Managed releases of Helm packages.
Created dynamic routing/load balancing capability enabling large application scaling, used ingress rules and Ingress Controllers - Nginx.
To manage security in Multitenant Kubernetes Cluster, created the centrify docker container which allow to access application specific to Namespace.
Upgrading the Kubernetes cluster to the latest version without downtime.
Used Elastic Search, Fluentd & Kibana for maintaining Kubernetes system logs and Container logs.
Container management using Docker by writing Dockerfiles and set up the automated build on private repository.
Designed and documented CI/CD process and implemented.
Created a Continuous Delivery process to include support building of Docker Images and publish into a private repository.
Developed and deployed scripts by configuring SBT and Maven build tools in Jenkins to automate software development process.
Built Jenkins jobs to create AWS infrastructure from GitHub repos containing terraform code.
Worked in AWS environment, instrumental in utilizing Compute Services (EC2, ELB), Storage Services (S3, Glacier, Block Storage, Lifecycle Management policies), CloudFormation (JSON Templates), Elastic Beanstalk, Lambda, VPC, RDS, Trusted Advisor and Cloud Watch.
Deploying and maintaining production environment using AWS EC2 instances and ECS with Docker.
Implemented a production ready, highly Scalable, highly available, Kerberized Cloudera Hadoop Distribution.
Managed Ansible Playbooks with Ansible modules, implemented CD automation using Ansible, managing existing servers and automation of build/configuration of new servers.
Created the api services to build the Highly Scalable EMR cluster using python & CloudFormation.
To create, change, and improve infrastructure as code by using Terraform.
Used Airflow to replicate AWS Elastic File System data between cross region.

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