Naveen  ·  Lead Azure DevOps Engineer  ·  9+ yrs

Senior
9+ years experienceonsite
Available within 48 hrs

About Naveen

Naveen is a Cloud Engineer with 10+ years of experience specializing in DevOps strategy and cloud solutions. He has a proven track record in implementing CI/CD workflows and managing cloud infrastructure.

9+ years of commercial experience in

HealthTech

Skills(31)

AzureTerraformKubernetesDockerPythonJenkinsGitGitHubHadoopSparkAzure DevOpsMapReduceHDFSEC2AWS EMRSpark StreamingSqoopShell ScriptHivePigScalaZookeeperJavaTableauClouderaTalendImpalaEclipseFlumeSQL ServerLinux

Why hire Naveen?

Production deploy authorityLed implementation of DevOps solutionsExpert in Infrastructure as Code

Implemented Kubernetes to deploy, scale, and manage Docker containers.

Designed comprehensive DevOps capabilities including CI/CD workflows across multiple projects.

Provisioned diverse Azure services utilizing Terraform for Infrastructure as Code.

Successfully provisioned diverse Azure services (VMs, Storage, Functions, ACR) utilizing Terraform for Infrastructure as Code.

Enabled continuous delivery capabilities to Pivotal Cloud Foundry by automating application deployments.

Managed and operated Hadoop clusters on AWS EMR, facilitating data ingestion and processing with Sqoop and MapReduce.

Project highlights(4)

Healthcare Cloud Infrastructure – Cloud Engineer

Overview: This role focuses on defining and leading implementation solutions within the Azure DevOps Environment. Responsibilities: Defined and led implementation solutions in the Azure DevOps Environment. Designed, implemented, and maintained DevOps capabilities in the cloud by setting up complex CI and CD workflows and automation using Azure DevOps, Jenkins, and Travis.

AzureTerraformKubernetesDockerAzure DevOps

Key outcomes:

  • Defined and led implementation solutions for Azure DevOps environment.

  • Developed Spark applications and implemented Apache Spark for data processing.

  • Provisioned various Azure services using Infrastructure as Code (Terraform).

IT Services Cloud Engineering – Cloud Engineer

Overview: Provided cloud engineering services, focusing on DevOps, IaaS, and CI/CD. Responsibilities: Developed and maintained Big Data solutions, including processing structured/unstructured data. Provisioned various services including Virtual Machines, Security Groups, Virtual Networks, Azure Functions, Storage containers, and ACR using Terraform.

AzureTerraformKubernetesDockerSpark

Key outcomes:

  • Designed and implemented DevOps capabilities including complex CI/CD workflows and automation.

  • Developed Terraform for provisioning diverse infrastructure components.

  • Managed GitHub projects, policies, and permissions.

Project 3 – Cloud Engineer

  • This project involved working with MapReduce jobs for data operations and defining job flows on EC2 servers for structured and unstructured data. Followed Agile Methodology (SCRUM) for development and testing. Focus was on data ingestion and Hadoop cluster operations.
  • Wrote MapReduce jobs to perform operations like copying data on HDFS and defining job flows on EC2 server.
  • Worked on data ingestion from SQL Server to Data Lake using Sqoop and Shell scripts.
  • Maintained and operated Hadoop cluster on AWS EMR.
  • Used Spark Streaming on standalone cluster mode and EC2.
  • Involved in writing Hive queries and managed loading data into Hive tables, running internally in MapReduce.
HadoopMapReduceHDFSEC2AWS EMRSpark StreamingSqoopShell ScriptHivePigScalaZookeeperPythonJavaTableauClouderaTalendImpalaEclipse

Key outcomes:

  • Wrote MapReduce jobs for data operations on HDFS and EC2.

  • Implemented data ingestion from SQL Server to Data Lake using Sqoop.

  • Maintained and operated Hadoop cluster on AWS EMR.

Project 4 – Big Data Developer

  • Focused on the maintenance and management of HDFS and loading structured and unstructured data. The project involved implementing IaaS and PaaS models and developing MapReduce jobs.
  • Worked on the maintenance and management of HDFS and loading structured/unstructured data.
  • Used Sqoop to import data from RDBMS into Hive tables.
  • Developed Hive internal and external tables and functioned on them by means of HIVEQL.
  • Implemented Flume script to load streamed data into HDFS.
HadoopMapReduceHDFSSqoopHivePigFlumeJavaSQL ServerLinuxEclipse

Key outcomes:

  • Maintained and managed HDFS for loading structured and unstructured data.

  • Used Sqoop to import data from RDBMS into Hive tables.

  • Developed Hive internal and external tables using HIVEQL.

Industry experience

HealthTech

2 projects
  • •Healthcare Cloud Infrastructure— Cloud EngineerAzure · Terraform · Kubernetes · Docker +1
  • •Project— Cloud EngineerHadoop · MapReduce · HDFS · EC2 +15

Ready to work with Naveen?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience9+ years
Work modeonsite
Starting from₹2.4 L/mo
Direct hirePossible
Start within48 hours
From₹2.4 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem owner
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Naveen

DevOps Engineer