Adarsh B Email & Phone Number

Highly motivated and results-oriented, DevOps, Data Engineering &Analytics, Windows Admin and SQL Administrator with extensive experience in both on-premises and cloud environments (AWS, GCP, Azure). Proven ability to automate infrastructure provisioning, manage data pipelines, and ensure security compliance. Skilled in scripting languages, including Python and Bash, and proficient in configuration management tools like Terraform and Ansible.

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  Devops Developer

  Ust

  Dec 2021 - Feb 2023 - Thiruvandram

  Developer II - DevOps Engineering UST Trivandrum, Trivandrum, IndiaT-Mobile1) GCP-Windows Image Creation: Automated and published Windows images in G-Cloud, using power shell script ensuring security, hardening, and compliance via GitLab lab pipeline using docker.Equifax DNA Finops Data Fabric Warehouse:• Site Reliability Engineering: Executed MQL Python scripts, validated GCP billing data in Big Query, and cross-referenced insights from Looker, BI, and dashboards.• Apache… Show more Developer II - DevOps Engineering UST Trivandrum, Trivandrum, IndiaT-Mobile1) GCP-Windows Image Creation: Automated and published Windows images in G-Cloud, using power shell script ensuring security, hardening, and compliance via GitLab lab pipeline using docker.Equifax DNA Finops Data Fabric Warehouse:• Site Reliability Engineering: Executed MQL Python scripts, validated GCP billing data in Big Query, and cross-referenced insights from Looker, BI, and dashboards.• Apache Beam Pipeline: Orchestrated Apache Beam pipeline using Dataflow and Airflow, seamlessly transferring data from GCS to a designated Big Query table.Dagility1)Set up a continuous integration (CI) pipeline using Jenkins and AWS CodeCommit, Nexus, SonarQube, and Slack to build and test for every commit.Automate the process and notify the team of every build status. If bugs or errors are found, fix the code immediately rather than waiting.2)Utilize Terraform for managing cloud infrastructure state in Azure blob storage and configuring Virtual Private Clouds (VPCs),ensuring efficient and reproducible infrastructure setup.3)Creating two web applications using a single instance of the Apache web server in Azure4)CI/CD Pipeline using Setup for Git jenkins and Maven and integrating tomcat server ,docker, Ansible ,kubernetes5)Lambda function with Apl Gateway as trigger and passing information through Apl Gateway1)To build and deploy a multi-tier web application using AWS services you can utilize the following components:RDS,AWS ElastiCache,AWS MQ,AWS Elastic Beanstalk,Amazon CloudFront.2)cloud infrastructure using AWS CloudFormation template for the mentioned services (S3,IAM role ,Jenkins, Nexus, SonarQube, Windows Server, Tomcat)3)Ansible for Aws vpc and stack setup4)Aws Migration using snowball and Migration Hub5)Azure Migrate and Database Migration6)Deploying MVC application to app service on azure and SQL database, Cosmos DB Show less