Naveen  ·  Lead Azure DevOps Engineer  ·  9+ yrs

Senior
Noida9+ years experienceonsite
Available within 48 hrs

About Naveen

Naveen is a seasoned Cloud Engineer with a decade of experience in designing and implementing robust cloud solutions. His expertise lies in leveraging Azure for IaaS, driving DevOps practices, and optimizing CI/CD pipelines. He has successfully managed complex cloud architectures and has a strong foundation in Big Data technologies, ensuring efficient data processing and management.

Core expertise

Azure
cloud
10/10
Terraform
devops
10/10
Kubernetes
devops
9/10
Docker
devops
9/10
Python
language
9/10
Jenkins
devops
9/10
Git
tooling
9/10
GitHub
tooling
9/10
Hadoop
big data
8/10
Spark
big data
8/10

Additional skills(28)

AzureTerraformKubernetesDockerAzure DevOpsSparkHadoopHiveScalaPython

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.

9+ years of industry experience

HealthTech2 projects
  • •Healthcare Cloud Infrastructure— Cloud EngineerAzure · Terraform · Kubernetes · Docker +1
  • •Project— Cloud EngineerHadoop · MapReduce · HDFS · EC2 +15

Ready to work with Naveen?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationNoida
Experience9+ years
Work modeonsite
Direct hirePossible
Start within48 hours
From$2,874/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Azure
10/10
Terraform
10/10
Kubernetes
9/10
Docker
9/10
Python
9/10
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Naveen

DevOps Engineer