Cloud & FinOps

Cloud cost optimization, FinOps program leadership, and financial governance across AWS, Azure, and GCP enterprise portfolios.

Commitment strategy: the four levers

The core of my FinOps practice is a four-lever commitment framework that sustains savings without blocking growth. I match each lever to workload type, business priority, and architecture.

Enterprise Discount Programs (EDP)

Negotiated committed-spend agreements that lower rates across the whole portfolio.

Savings Plans

Flexible compute commitments matched to steady-state usage without locking in instance types.

Managed Reserved Instances

Actively managed RI coverage aligned to workload patterns and renewal timing.

AWS Migration Acceleration Program (MAP)

Migration funding and credits tied to modernization milestones.

Outcomes

$36M
ARR enterprise portfolio managed
up to 43%
Cloud cost reduction delivered
$3M
ARR preserved through churn mitigation
$650K
AWS MAP funding secured for migrations

FinOps maturity model

I assess and advance FinOps maturity posture across four dimensions.

Visibility

Cost and usage data flowing, tagged, and trusted.

Allocation

Spend mapped to teams, products, and workloads through showback and chargeback.

Optimization

Rightsizing, commitments, and architecture changes matched to each workload.

Operations

Governance cadence, anomaly detection, and budget guardrails that hold over time.

Overview

I design and execute FinOps programs that deliver measurable cost reduction while supporting business growth. Experience spans AWS, Azure, and GCP across enterprise portfolios ranging from $4M to $36M ARR.

Work includes cloud financial governance, executive ROI modeling, and partnership with CFO, engineering, and cloud architecture teams.

I built a Portfolio Analytics tool on this site to demonstrate the methodology: evaluating savings opportunities, assessing the four maturity dimensions above, and generating executive-ready reports. Try it below.

Core Capabilities

  • Cloud financial governance and commitment modeling
  • Executive ROI modeling for CFO and finance stakeholders
  • Multi-cloud optimization across AWS, Azure, and GCP
  • Partnership with engineering on usage patterns and optimization
  • Telemetry analysis for cost anomaly detection and adoption tracking

Portfolio Analytics

Why it exists

I built an interactive portfolio analytics tool to demonstrate my FinOps methodology in action. It shows how I approach cloud cost optimization, assess maturity, and communicate findings to executives, not just theory, but a working example. The methodology reflects enterprise FinOps practice: multi-account cost allocation, shared cost modeling, unit economics analysis, and anomaly-informed optimization, the same dimensions that enterprise FinOps platforms like CloudZero are built around.

What it does

  • •Evaluates cloud cost savings opportunities across a sample portfolio
  • •Assesses FinOps maturity posture across four dimensions: Visibility, Allocation, Optimization, and Operations
  • •Generates executive-ready narrative summaries via LLM analysis

How to use it

  1. Open the Portfolio Analytics dashboard to see the sample portfolio overview
  2. Drill into individual accounts for deep analysis and savings breakdown
  3. Generate an AI-powered executive report for selected accounts or the full portfolio
Open Portfolio Analytics

Also: Cloud Spend Radar, a Lovable-built spend visibility prototype.

Learn More

For detailed FinOps experience, case studies, and cloud cost optimization outcomes, see the Experience page.

View ExperiencePortfolio & cloud savings model