Available for new opportunities

Onkar Anant
Puranik

I build

DevOps & MLOps Engineer with 3 years of experience designing, automating, and managing scalable cloud-native infrastructure and ML platforms across Azure, AWS, and GCP. Kubernetes, Terraform, CI/CD, observability, and production ML pipelines.

Onkar Anant Puranik
Kubernetes
Multi-Cloud
MLOps
KubernetesDockerTerraformAnsibleAzureAWSGCPJenkinsArgoCDPrometheusGrafanaLinuxPythonBashKafkaMongoDBRedisMLflowBigQueryGitOpsKubernetesDockerTerraformAnsibleAzureAWSGCPJenkinsArgoCDPrometheusGrafanaLinuxPythonBashKafkaMongoDBRedisMLflowBigQueryGitOps

About

Engineering reliability at scale

I'm a cloud infrastructure engineer passionate about automation, DevOps culture, and cloud-native systems. I build reliable Kubernetes platforms, ship Infrastructure as Code with Terraform, and design CI/CD workflows that let teams move fast without breaking production.

Lately I've been focused on MLOps — bringing the same rigor to model lifecycle management, experiment tracking, monitoring, and secure production ML workloads across Azure, AWS, and GCP.

DevOps & MLOps EngineerCloud Infrastructure SpecialistKubernetes EnthusiastAutomation Engineer
3+
Years Experience
20+
Servers Managed
99.9%
Infra Availability
40%
Manual Effort Cut
25%
Faster Resolution

Education

Academic Background

Bachelor of Engineering

2022

Mechanical Engineering

Savitribai Phule Pune University

Journey

Professional Experience

June 2026 – Present

Senior Software Engineer (DevOps)

Rahi Platform Technologies

  • Built and maintained CI/CD pipelines using Jenkins, AWS CodePipeline, CodeBuild, and GitHub Actions, reducing deployment time by 25% and improving release efficiency
  • Designed and deployed scalable and highly available infrastructure on AWS using EC2, VPC, S3, and Elastic Load Balancers, improving system availability by 20%
  • Implemented AWS cost optimization by rightsizing EC2 instances, enabling Auto Scaling, and monitoring usage with AWS Cost Explorer, reducing overall cloud costs by 20%
  • Implemented infrastructure and application monitoring using Amazon CloudWatch, Prometheus, and Grafana dashboards, enabling proactive alerting and faster incident resolution
  • Troubleshot production incidents by analyzing application logs and Linux system metrics using tools such as top, ps, netstat, vmstat, iostat, and system logs to ensure system stability
  • Developed Python and Bash automation scripts for infrastructure management, monitoring, and CI/CD workflows, improving operational efficiency by 20%
  • Supported data pipeline infrastructure using AWS services such as EMR and S3 for processing large datasets, enabling scalable analytics workflows
  • Diagnosed application connectivity issues using networking fundamentals such as TCP/IP, DNS, HTTP/HTTPS, SSH, and load balancer configurations
AWSJenkinsGitHub ActionsEC2VPCS3ELBCloudWatchPrometheusGrafanaLinuxPythonBashEMRAuto Scaling
March 2024 – April 2026

Packaged App Development Associate

Accenture

  • Administered and maintained Linux (Red Hat/CentOS) environments, managing system configurations, performance tuning, and routine operations across 20+ servers to ensure 99.9% uptime
  • Enforced least-privilege access and security governance using Azure AD, RBAC, ACL, and Azure Key Vault across 15+ service accounts, improving audit compliance scores by 25%
  • Configured Azure Monitor, Log Analytics workspaces, and Application Insights dashboards for end-to-end observability; reduced incident resolution time by 25% through proactive alerting
  • Authored and maintained Shell and Python automation scripts for server configuration, application deployment, and data pipeline validation, reducing manual operational tasks by 40% and improving processing efficiency by 20%
  • Authored reusable Terraform modules and ARM Templates/Bicep scripts to provision and govern Azure resources (AKS, ACR, Key Vault, VNET, Storage Accounts) across Dev, UAT, and Production environments
  • Designed and implemented Azure networking architecture including VNET, VNET Peering, NSGs, VPN Gateways, and Azure Load Balancers for secure, multi-tier, high-availability environments
  • Deployed Argo CD for GitOps based continuous delivery, enabling declarative Kubernetes application management and reducing deployment drift across environments
LinuxAzureAzure ADRBACAzure Key VaultAzure MonitorLog AnalyticsApplication InsightsPythonShellTerraformARMBicepAKSACRVNETNSGVPN GatewayArgoCDGitOps
April 2023 – November 2023

Associate Consultant-I

Future Market Insights

  • Assisted in building and maintaining CI/CD pipelines using Jenkins
  • Used Git for source code management and collaboration with development teams
  • Assisted in managing data ingestion and processing environments, improving deployment troubleshooting efficiency by 25% through log analysis and system monitoring
  • Assisted in monitoring application performance and resolving basic deployment issues
GitJenkinsLinuxCI/CDMonitoring

Toolbox

Technical Skills

The stack I use to build reliable, scalable, production-grade systems.

Languages

PythonBashSQL

Cloud

GCPGKECloud RunCompute EngineCloud StorageVPCIAMBigQueryBigTableMemoryStore

Containers

DockerKubernetesGKE

Infrastructure as Code

TerraformAnsible

Monitoring

GCP Ops SuitePrometheusGrafana

Messaging & Data

KafkaPub/SubRedisMongoDBBigTable

Practices

CI/CDIaC AutomationIncident MgmtHigh AvailabilityCost OptimizationAgile

Selected Work

Featured Projects

Cloud SQL Migration

Problem

Legacy MySQL databases needed migration to a scalable managed platform with zero business disruption.

Solution

Executed a phased migration to Google Cloud SQL using replication, staged cutover, and Terraform-managed networking to guarantee data integrity.

Highlights
  • Near-zero downtime
  • Improved scalability
  • Reliable migration strategy
MySQLGoogle Cloud SQLGCPTerraformCloud Networking

Production Kubernetes Platform

Problem

Microservices workloads required a resilient, observable, and fully automated production platform.

Solution

Designed a scalable AKS architecture with Terraform IaC, auto-scaling, centralized logging, Azure Monitor, and end-to-end CI/CD pipelines.

Highlights
  • Auto Scaling
  • Infrastructure as Code
  • Production-ready
  • Centralized monitoring
  • Modern DevOps architecture
AKSTerraformDockerKubernetesAzure MonitorCI/CDLogging

Capabilities

Core Expertise

Cloud Infrastructure
DevOps Engineering
MLOps Automation
Infrastructure as Code
Kubernetes Orchestration
Linux Administration
CI/CD Automation
Observability & Monitoring
Cloud Security
Production Deployments
GitOps
Automation Engineering

Credentials

Certifications

Professional certifications earned across cloud, DevOps, and security domains.

Professional Security Operations Engineer Certification
Google
Issued Apr 2026 · Expires Apr 2028
Microsoft Certified: DevOps Engineer Expert
Microsoft
Issued Jan 2026 · Expires Jan 2027
Microsoft Certified: Azure Developer Associate
Microsoft
Issued Jan 2026 · Expires Jan 2027
Microsoft Certified: Azure Data Scientist Associate
Microsoft
Issued Jan 2026 · Expires Jan 2027
Microsoft Certified: Azure Database Administrator Associate
Microsoft
Issued Feb 2026 · Expires Feb 2027
Professional Cloud DevOps Engineer
Google
Issued Nov 2025 · Expires Nov 2027
Github Copilot
GitHub
Issued Oct 2025 · Expires Oct 2027

Get in touch

Let's build something reliable

Have an infrastructure challenge or an MLOps project? I'd love to hear about it.