I hold my work to the standard of the strongest staff and principal multi-cloud ICs. My experience includes
roles at Google (cloud architecture & specialist programs) and Microsoft
(Azure engineering), shaping how I design secure, scalable, high-performance architectures
across GCP, Azure, and AWS, from landing zones and GKE platforms to IAM governance,
compliance-ready controls, and FinOps that hold up in rigorous design and executive review.
How I work—and the problems I solve for leadership and engineering teams.
I am a Multi-Cloud Architect with 10.6 years of experience and the depth
organizations expect at the staff / principal level—including hands-on roles at
Google and Microsoft, building enterprise-grade platforms on
Google Cloud and Azure. I specialize in
secure, scalable, compliant architectures using Kubernetes (GKE),
Terraform, and modern DevSecOps practices—with hands-on work across
landing zones, hybrid connectivity (VPN / Interconnect),
IAM governance, FinOps, and audit-ready controls.
3Cloud ecosystemsGCP · Azure · AWS
10+Google Pro & associateArchitecture, security, DevOps
I have led cloud transformations, defined landing zones, implemented
IAM governance, and improved cost and reliability for large environments.
With six Google Professional certifications—including
Professional Cloud Architect—plus additional Google associate and data credentials,
AWS (Cloud Practitioner, SysOps Administrator),
CKA, and HashiCorp Terraform Associate, I bring depth across architecture, security, and automation.
I focus on real outcomes:
High availability and multi-region / DR patterns where the business requires them
Zero Trust–aligned access and reduced attack surface (private connectivity, IAM, MFA)
FinOps—visibility, rightsizing, and sustainable spend
Fast, reliable releases via CI/CD and platform guardrails
My goal is cloud systems that are not only functional but scalable, secure, and future-ready—and
that I can explain clearly to executives, security, and engineering alike.
Certifications
Credentials grouped by provider: Google Cloud, Microsoft, AWS, Linux Foundation (CNCF), and HashiCorp.
19Active credentials listed
3Cloud providers
10+Google Cloud credentials
Google Cloud
FeaturedProfessional Cloud Architect (PCA)
Professional Cloud Security Engineer
Professional Cloud DevOps Engineer
Professional Cloud Developer
Professional Cloud Database Engineer
Professional Cloud Network Engineer
Associate Cloud Engineer
Associate Data Practitioner
Cloud Digital Leader
Generative AI Leader
Microsoft
Designing Microsoft Azure Infrastructure Solutions (AZ-305)
Azure Administrator (AZ-104)
Azure Fundamentals (AZ-900)
Microsoft Certified Trainer (MCT) – 2021–2023
MCSA: Windows Server
Amazon Web Services (AWS)
AWS Certified SysOps Administrator – Associate
AWS Certified Cloud Practitioner
Linux Foundation (CNCF)
Certified Kubernetes Administrator (CKA)
HashiCorp
HashiCorp Certified: Terraform Associate
Professional experience
Cloud Architect – Google Cloud
Architected enterprise-grade GCP environments aligned with business and security requirements
Designed hybrid connectivity (VPN + Interconnect) for on-prem to cloud integration
Led Terraform-based IaC strategy, reducing provisioning effort by 70%
Built and standardized CI/CD pipelines (GitHub Actions, Cloud Build) for microservices
Improved cloud efficiency via cost optimization strategies, reducing spend by 15%
Designed IAM governance models and automated onboarding via ServiceNow
Developed internal automation tools for privileged access management
Associate Architect – Google Cloud
Designed GCP landing zone architecture (Shared VPC, firewall, VPN, load balancers) across environments
Implemented GKE-based microservices platform with CI/CD pipelines
Built monitoring ecosystem using Prometheus, Grafana, Splunk, and GCP Monitoring
Automated user provisioning using Saviynt IAM integration
Provisioned large-scale infrastructure using Terraform
Cloud Specialist – Google Cloud (GOC)
Provided architectural consulting for enterprise GCP customers
Conducted cloud readiness assessments and infrastructure reviews
Designed landing zones and migration strategies
Acted as SME for GKE, IAM, networking, and security
Led engineering onboarding and training programs
Azure Engineer – Microsoft
Designed and deployed Azure IaaS & PaaS solutions
Migrated VMs, SQL Servers, and on-prem workloads to Azure
Delivered expertise in Azure networking, monitoring, and backup
Partnered with enterprise stakeholders on architecture decisions
Cloud Consultant
Designed and implemented cloud solutions on Azure & GCP
Led RCA and incident resolution for critical systems
Mentored teams and improved cloud adoption
Projects & use cases
Website-ready narratives: problem → solution → impact → pitch. Patterns align with regulated,
high-scale, and multi-cloud programs I’ve delivered—anonymized where client names are not public.
Use case 01 · Multi-cloud · DR
Multi-cloud architecture (GCP primary · Azure DR)
Problem
A regulated workload required high availability, PII / SPI–class compliance,
and no unnecessary public exposure—with a credible disaster recovery story.
Solution
GCP as primary; Azure for DR (workloads + data continuity strategy)
GKE for microservices; Cloud SQL with private IP
VPN / Interconnect for hybrid connectivity; IAM + MFA
CMEK via Cloud KMS; DNS / traffic patterns for failover readiness
Impact
HA and DR posture suitable for regulated expectations
Reduced public attack surface via private networking and controlled ingress
Alignment to compliance and audit evidence needs
“I designed a multi-cloud architecture with GCP as primary and Azure for DR, combining
private networking, strong IAM, and Kubernetes—so we could meet availability and compliance without exposing
sensitive paths publicly.”
Application teams needed a scalable deployment target, faster releases,
and production-grade reliability—without every team operating clusters differently.
Solution
Production GKE design: ingress / HTTP(S) load balancing patterns
The enterprise needed standardized Dev / QA / Prod foundations, strong security
controls, and a scalable way to onboard new workloads.
Solution
Shared VPC (host + service projects) and private networking patterns
IAP-aligned secure access models where applicable
IAM governance with ServiceNow / Saviynt-style automation
Terraform for repeatable provisioning
Impact
~70% reduction in manual provisioning effort
Consistent, audit-friendly foundations across environments
Platform ready for GKE and service expansion
“I designed a secure GCP landing zone with Shared VPC and IAM governance—so environments
scaled cleanly and security could defend the design in audit.”
Deep-dive narratives for interview panels and hiring managers—structured as
problem → architecture → decisions → impact. Scoped for
principal / staff multi-cloud architect conversations.
Representative of multi-account GCP work across Dev / UAT / Prod, hybrid integration, and
governance—aligned to outcomes I’ve delivered in senior architecture roles (not a single named client).
Context & problem
The organization needed a repeatable cloud foundation: consistent networking, identity,
guardrails, and delivery pipelines across environments—without every team reinventing VPCs, IAM, and
connectivity to on-prem. Legacy patterns mixed manual clicks, uneven security baselines, and limited
cost visibility.
Inconsistent isolation and policy between non-prod and prod
High manual effort to provision landing zones and workloads
Hybrid requirement: stable paths between data center and cloud (VPN / Interconnect)
Pressure to show audit-ready controls and FinOps discipline
Solution architecture (how I shaped it)
Landing zone: Organization-level structure with shared services and environment separation
(Dev / UAT / Prod), anchored on Shared VPC and centralized network control where
appropriate.
Hybrid connectivity: Designed VPN and Interconnect-based integration so
private workloads could reach on-prem systems without exposing management planes publicly.
IaC-first: Led a Terraform-based provisioning model (modules, pipelines,
review patterns) so environments stay reproducible and reviewable.
Delivery: Standardized CI/CD with GitHub Actions and
Cloud Build for microservices paths into GKE where applicable.
Governance: IAM models aligned to least privilege; automation hooks for onboarding
(e.g. ServiceNow) and, in similar engagements, Saviynt-style identity
workflows.
Observability: Prometheus, Grafana, Splunk, and native GCP monitoring for operational
clarity and incident response.
Key architecture decisions (what I’d defend in a panel)
Shared VPC for centralized control vs. fully siloed projects—traded agility for uniform policy and simpler audits.
Private-by-default posture for critical data paths; public surfaces only where explicitly justified and guarded.
Terraform as the contract between platform and product teams—reduces drift and supports compliance evidence.
FinOps embedded in design (rightsizing, lifecycle, visibility)—not a late-stage cleanup project.
Impact (quantified where I have numbers)
~70% reduction in provisioning effort after IaC and standards landed
~15% cloud spend improvement through targeted optimization and discipline
Stronger security and audit posture via consistent controls and documentation
Faster, safer path for application teams to ship on GKE inside guardrails
Technologies
GCP
Shared VPC
VPN / Interconnect
GKE
Terraform
GitHub Actions
Cloud Build
IAM
ServiceNow
Prometheus
Grafana
Splunk
Next step for you: add a high-level architecture diagram image above or beside this case
study (export from Draw.io / Lucid / Excalidraw). Staff and principal panels will often ask you to
whiteboard this—having it on the site reinforces credibility.
Coming next on the site
GKE production platform — regional HA, ingress, autoscaling, and safe release patterns
IAM & Zero Trust — MFA, least privilege, PAM-style workflows, audit evidence
Troubleshooting playbook — DNS, load balancers, and connectivity (production war stories)
I can turn any of these into full case studies once you add diagrams or approve anonymized details.
Key architecture impact
Designed secure landing zones for multi-environment deployments (Dev / UAT / Prod)
Built Kubernetes platforms (GKE) for scalable microservices
Implemented IAM automation reducing onboarding effort significantly
Delivered audit-compliant architectures for enterprise clients
Enabled hybrid cloud connectivity across on-prem and cloud
M.Sc. Computer Science — Acharya Nagarjuna University
BCA — Andhra Loyola College
Contact
Let’s build scalable, secure cloud systems together—principal-caliber depth
when your roadmap demands it. Open to
Cloud Architect, Staff / Principal IC, and senior platform roles—India
(Bangalore preferred), hybrid, or remote where there is a fit.
Use this site with my résumé and
LinkedIn
for depth on GCP, Azure, architecture narratives, and delivery impact.
