Cloud
Deepening Hub-and-Spoke, landing zones, Terraform, Bicep, Kubernetes, and ECS — the paths I already walked, now with more architecture judgment.
booting control plane.
Suhail Ahmed
Learning Path — Cloud, Data & AI
I am learning the layer that enterprises run on: landing zones, data platforms, and governed AI. Azure. AWS. Foundry. Each project is progress, not a finished claim.
release / main
#1842 · runningBuild
lint
compile
container
Test
unit
e2e
load
Security
sast
policy
secrets
Deploy
staging
prod-gate
Observe
grafana
sentinel
01 / Current mission
I am learning how AI apps and agents sit on a real cloud and data estate.
Progress so far: Azure AI-103 — Developing AI Apps and Agents on Azure — completed. I am working through Foundry, agents, evals, and how those pieces connect to Databricks, Snowflake, and Sigma.
Cursor and MCP are part of the practice stack. I treat them as things to learn securely — configuration, reviews, and responsible use — not as a production claim.
Data
Practicing lakes, pipelines, Databricks, Snowflake, and Sigma so insights can move from a notebook to a dashboard.
AI
AI-103 done. Next: Foundry, agents, evals, and MLOps — learning to build, measure, and govern, not just demo.
02 / Practice systems
Labs where I learn pipelines, agents, and recovery.
CS-01−85% MTTR
Self-healing Azure pipelines
A lab for agents that watch Azure DevOps, detect a break, and practice remediation with Monitor and Defender.
- Azure DevOps
- MCP
- Defender
CS-02Zero-touch
Autonomous release path
A practice path from PR to production — security gates and rollbacks as something I am learning to design, not a live factory floor.
- Azure
- Agentic AI
- Release
CS-03Pre-prod
Infrastructure Sentinel
A learning build for drift, cost, and policy checks — so misconfig is caught before I would ever trust it in production.
- Azure Policy
- Governance
- MCP
CS-04Co-pilot
Cursor + Claude + MCP
Practice rulesets for IaC, security review, and consistent Azure DevOps — iterating until the pattern is reliable.
- Cursor
- Claude
- IaC
03 / Trajectory
Ten years in infrastructure. Now adding AI apps and agents.
Solutions Architect — Cloud, Data & AI
Revantage Global · Singapore
- Enable AI across Databricks, Snowflake, and Sigma for analytics and operational insights.
- Design AI agents that cut manual analysis for Ops and business teams.
- Implement Azure AI Foundry as a gateway to manage, monitor, and govern AI solutions.
- Evaluate Cursor and MCP with a focus on security, configuration, and responsible use.
- Support AI application build-out, evals, testing, and operational readiness.
Senior DevOps Engineer
Revantage Global · Singapore
- Design enterprise Azure and AWS architectures, including Hub-and-Spoke landing zones.
- Build IaC and CI/CD with Terraform, Bicep, Azure DevOps, and GitLab.
- Run Kubernetes, Docker, and ECS/Fargate for availability and cost.
- Implement Prometheus, Grafana, observability, and cloud security controls.
Cloud / DevOps Consultant
Accenture Singapore
- Migrate complex legacy applications to Azure and AWS with resilient, cost-aware designs.
- Build secure landing zones with Terraform and GitLab CI/CD to cyber standards.
- Deliver cloud security and compliance projects with guardrails on Azure workloads.
Cloud / DevOps Engineer
Accenture India · Bangalore
- Deploy IaaS on AWS and Azure using Terraform and GitLab CI/CD.
- Execute application migrations and performance optimizations.
- Investigate incidents and work remediations with compliance and security teams.
Technical Lead
Cognizant · Bangalore
- Automate cloud management with vRealize Automation and Orchestrator across 1000+ VMs.
- Integrate vRO with CouchDB and manage ESXi, HA, DRS, and migrations.
- Run Agile delivery and Bitbucket workflows; training that lifted team skills.
04 / Certified surface
Azure Solutions Architect Expert
DevOps Engineer Expert
AWS Solutions Architect
Terraform Associate 004
Databricks Data Engineer
SnowPro Core
AI-103 Azure AI Apps and Agents
Azure AI Fundamentals
OCI Architect Associate
05 / Signal