Dinesh Chandak

About Dinesh Chandak

I am a DevOps Lead and Cloud/MLOps Architect with 18+ years of experience driving large-scale automation, cloud transformation, and production reliability across AWS, Azure, and GCP. With 10+ years dedicated to DevOps, I specialize in building enterprise-grade CI/CD pipelines, Infrastructure as Code frameworks, Kubernetes platforms, ML/AI delivery pipelines, and secure, scalable cloud architectures.My expertise spans the entire ecosystem of DevOps, Cloud Engineering, MLOps, SRE, Platform Engineering, and modern software delivery. I have led teams and multi-cloud modernization programs across industries, ensuring high availability, security, efficiency, and rapid deployment cycles.I architect and implement solutions using:Terraform, CDK, Kubernetes (EKS/AKS/GKE), GitHub Actions, Azure DevOps, Jenkins, Docker, Helm, ArgoCD, MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML, Airflow, Prometheus/Grafana, ELK/EFK, CloudWatch, Azure Monitor, BigQuery, Databricks, and a wide range of cloud-native and open-source tools.What I enjoy most is bridging the gap between DevOps, Data Engineering, and Machine Learning, enabling organizations to move from POCs to production-grade ML systems with automated training, deployment, monitoring, and drift detection.Core Strengths:• DevOps Leadership & Team Mentoring• Multi-Cloud Architecture (AWS | Azure | GCP)• CI/CD/CT Pipelines & GitOps• Infrastructure as Code (Terraform, CDK, Bicep)• Kubernetes & Container Platforms• MLOps – Model Deployment, Model Registry, Feature Stores, Auto-Retraining• SRE Practices – Reliability Engineering, Observability, SLIs/SLOs• DevSecOps – Security, Compliance, IAM Governance• FinOps & Cloud Cost Optimization• Automation, Standardization & Engineering Best Practices• Migrating Legacy Systems to Cloud-Native ArchitecturesI believe in building platforms, not scripts — scalable automation that enables teams to innovate faster, deliver more reliably, and run ML/AI workloads in production with confidence.If you’re working on cloud modernization, DevOps transformation, or scaling ML systems into production, I’d love to connect.

Experience

1. Senior Devops Lead

   Accenture

   Jun 2022 — Present · Pune, IN

   Led end-to-end cloud architecture for large-scale platforms on GCP, AWS, and Azure, ensuring high availability, security, and performance for global applications.Directed DevOps & SRE strategy, including CI/CD standardization, IaC adoption, observability transformation, and reliability engineering.Architected AI/ML infrastructures using Vertex AI, BigQuery, Dataflow, Pub/Sub, enabling MLOps, model deployment, automated evaluation, and RAG workflows.Owned platform delivery, SLAs, incident management, and operational governance across production, staging, and dev environments.Improved deployment frequency by 60% and reduced MTTR by 45% via automation, SRE playbooks, and observability enhancements.Delivered 20%+ cloud cost savings through FinOps strategies (autoscaling, rightsizing, storage optimization, spot workloads).Partnered with senior executives to define multi-year cloud modernization and AI adoption strategies.Established security best practices including IAM hardening, VPC-SC, KMS-based encryption, vulnerability scanning, and secrets governance.

Education

• Maulana Azad College

  High School, Physics; Chemistry; Mathematics

  1999 — 2000

• Indian Institute of Technology, Kharagpur

  M Tech, Industrial Engg & Mgmt

  2005 — 2007

• University of Calcutta

  Bachelor of Technology (BTech), Engineering/Industrial Management

  2001 — 2005

Skills

• Operations Research
• Continuous Integration
• Git
• Statistics
• Shell Scripting
• Software Development Life Cycle (Sdlc)
• Weblogic
• Alm
• Agile Methodologies
• Optimization Models
• Sql
• Linux
• Amazon Web Services (Aws)
• Itil
• Tomcat
• Business Intelligence
• Confluence
• Unix
• Github
• Sas Bi Certified Professional
• Jira
• Puppet
• Jenkins
• Red Hat Linux
• Sas Certified Base Programmer
• Subversion
• Pl/Sql
• Requirements Analysis