Sandeep  ·  Senior MLOps / Cloud Engineer  ·  6+ yrs

Mid-Level
6+ years experienceremote
Available within 48 hrs

About Sandeep

Sandeep is a Data Engineer with 6+ years of experience in DevOps and MLOps, specializing in AWS and Databricks. He has a proven track record in designing and automating end-to-end ML pipelines and managing CI/CD processes.

6+ years of commercial experience in

AI / ML Platform

Skills(54)

AWSApache AirflowApache SparkAzureDatabricksDockerGitJenkinsTerraformPythonEC2Auto-ScalingELBElastic BeanstalkS3GlacierRDSVPCRoute53CloudWatchIAMLambdaCloudFrontCloudFormationVagrantEBSDynamoDBAuroraElastic TranscoderSQSRubyBashGangliaSpark UIAnsibleLinuxElastic Load BalancerApache 2.0/2.2/2.4Apache Tomcat 5.5/6.0/7.0Docker-ComposeDocker-MachineCloud EndureARM templatesAzure DevOpsGitLab CIMLflowKubeflowAirflowKubernetesAWS SageMakerAzure MLGCP AI PlatformPower BITableau

Why hire Sandeep?

Production deploy authorityLed big data migrationsDesigned end-to-end ML pipelines

Migrated business infrastructure from physical data centers to AWS cloud environment.

Designed and automated end-to-end ML pipelines including data ingestion, preprocessing, model training, validation, and deployment.

Implemented cost management strategies for Databricks resources, reducing cloud expenditures through resource optimization and usage monitoring.

Led the migration of big data workloads to Databricks, optimizing storage and processing capabilities.

Orchestrated and migrated CI/CD processes using Cloud Formation, Terraform templates, and containerized infrastructure using Docker.

Migrated business applications from physical data center environment to AWS cloud designing highly available + fault-tolerant applications using AWS + EC2 + Auto-Scaling + ELB + Elastic Beanstalk as DevOps/AWS Engineer

Wrote AWS CloudFormation templates + Terraform scripts for infrastructure automation across VPC + EC2 + RDS + Route53 + monitoring big data workloads using AWS + CloudFormation + Terraform + VPC + EC2 as DevOps/AWS Engineer

Created snapshots for volume backups + images for EC2 launch configurations + configured web application deployments with CI/CD automation using AWS + EC2 + S3 + Route53 + Elastic Load Balancer as Cloud Engineer

Project highlights(4)

AWS Migration & Core Services Setup – DevOps / AWS Engineer

AWS Migration & Core Services Setup — migrated business applications from physical data center to AWS cloud designing highly available + fault-tolerant applications. AWS + EC2 + Auto-Scaling + ELB + Elastic Beanstalk.

AWSEC2Auto-ScalingELBElastic BeanstalkS3GlacierRDSVPCRoute53CloudWatchIAMLambdaCloudFrontCloudFormationTerraformDockerVagrant

Key outcomes:

  • Successfully migrated business from a physical data center environment to AWS.

  • Designed and deployed multitude applications utilizing almost all the AWS stack focusing on high-availability, fault tolerance, and auto-scaling.

  • Containerized infrastructure using Docker setup in Vagrant, AWS and Amazon VPCS.

Infrastructure Automation & Cloud Operations – DevOps / AWS Engineer

Infrastructure Automation & Cloud Operations — automated AWS infrastructure + source code management + monitoring cloud resources + big data workloads. AWS + CloudFormation + Terraform + VPC + EC2.

AWSCloudFormationTerraformVPCEC2ELBEBSS3GlacierRDSDynamoDBAuroraElastic TranscoderCloudFrontElastic BeanstalkIAMSQSLambdaPythonRubyBashGitDatabricksGangliaSpark UIAnsibleLinux

Key outcomes:

  • Automated AWS Infra with Terraform, creating reusable modules.

  • Performed all necessary GIT configuration support for different projects, maintaining branching, versioning, and merging strategies.

  • Monitored and analyzed performance metrics utilizing tools like Ganglia, Spark UI, and Databricks notebooks.

Cloud Resource Optimization & CI/CD Enhancements – Cloud Engineer

Cloud Resource Optimization & CI/CD Enhancements — optimized cloud infrastructure + snapshots for backups + EC2 launch configurations + CI/CD automation. AWS + EC2 + S3 + Route53 + Elastic Load Balancer.

AWSEC2S3Route53Elastic Load BalancerCloudFormationGlacierJenkinsApache 2.0/2.2/2.4Apache Tomcat 5.5/6.0/7.0DockerDocker-ComposeDocker-MachineCloud Endure

Key outcomes:

  • Optimized volumes and EC2 instances, and created multi-AZ-VPC instances.

  • Implemented automation for cloud platforms as well as monitoring and alerting purposes.

  • Achieved cost optimization on the entire Production account.

Databricks & MLOps Implementation – DevOps/AWS/MLOps Engineer

Databricks & MLOps Implementation — Databricks cost management + big data migrations + end-to-end ML pipelines + model lifecycle management. Databricks + Terraform + ARM templates + Jenkins + Azure DevOps.

DatabricksTerraformARM templatesJenkinsAzure DevOpsGitLab CIMLflowKubeflowAirflowKubernetesDockerAWS SageMakerAzure MLGCP AI PlatformSpark UIPower BITableauPythonGitBash

Key outcomes:

  • Implemented cost management strategies for Databricks resources, reducing cloud expenditures.

  • Led the migration of big data workloads to Databricks, optimizing storage and processing capabilities.

  • Designed and automated end-to-end ML pipelines.

  • Integrated Databricks with CI/CD pipelines using tools like Jenkins, Azure DevOps, or GitLab.

Industry experience

AI / ML Platform

2 projects
  • •AWS Migration & Core Services Setup— DevOps / AWS EngineerAWS · EC2 · Auto-Scaling · ELB +14
  • •Databricks & MLOps Implementation— DevOps/AWS/MLOps EngineerDatabricks · Terraform · ARM templates · Jenkins +16

Ready to work with Sandeep?

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

At a Glance

Experience6+ years
Work moderemote
Starting from₹2.2 L/mo
Direct hirePossible
Start within48 hours
From₹2.2 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 ownerOn-call experience
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

Not sure if this is the right fit?

Tell us your requirements and we'll match you with the best candidates.

Sandeep

ML OPs Engineer