I’ve helped Fortune 500 companies, major government agencies, and global enterprises optimize over $50 million in cloud spending. This experience—from inside AWS to leading FinOps transformations at scale—is what makes FastFinOps different.
My Background: From Enterprise IT to AWS Cost Optimization
I’ve spent years working with Fortune 500 companies and global enterprises on large-scale technology transformations. This foundation taught me how large organizations work, how technical decisions impact business outcomes, and how to translate complexity into executive-level insights.
As a Senior Technical Account Manager at AWS, I specialized in cost optimization, allocation and planning for the world’s largest enterprises. Few FinOps practitioners have this insider perspective. I consulted organizationally complex enterprises on cost allocation and cost optimization matters, architected solutions that delivered over $50 mln in savings, and repeatedly saw the same pattern: organizations had brilliant engineers and solid architectures, but lacked the frameworks, processes, and tooling to manage costs effectively.
Working with major government agencies and enterprises, I’ve consistently delivered 25-30% spend reduction through strategic optimization. Successful FinOps isn’t just about technical knowledge—it’s about organizational change management.
What Modern FinOps Requires
Technical Depth: Understanding cloud architectures, data pipelines, and building dashboards that bring actionable insight.
Organizational Understanding: Mapping your company’s structure to create meaningful cost allocation models that match how teams actually work and budget.
Cultural Fit: Understanding how to achieve results within your company’s culture without disrupting delivery velocity.
Stakeholder Management: Getting buy-in from engineering, finance, and executives. Making technical concepts accessible and compelling.
The Physician Model: Why One-Time Audits Fail
Most PE firms treat cloud costs as a one-time audit: check the AWS bill during diligence, maybe optimize once, then move on. This approach fails because:
Cloud infrastructure constantly changes. Engineers spin up new resources, workloads shift, usage patterns evolve. Last year’s optimization becomes this year’s waste without ongoing monitoring.
Commitment-based savings require active management. Reserved Instances and Savings Plans need quarterly reviews as usage patterns change. Set-it-and-forget-it approaches leave 15-20% of potential savings on the table.
New opportunities emerge continuously. AWS releases 1,500+ new features annually. Recent examples like Graviton4 processors, S3 Intelligent-Tiering, and Bedrock prompt caching each unlock significant new savings—but only if you’re tracking releases and implementing them.
💡 The physician model works better: Regular health checks, proactive monitoring, early problem detection, and continuous optimization. Companies with ongoing FinOps relationships maintain 15% waste rates. Those without drift back to 35-40% waste within 18 months.
For PE firms and portfolio companies, this translates directly to competitive advantage:
- 30-50% cloud spend reduction without impacting performance
- Better forecasting accuracy for EBITDA projections
- Faster identification of cost anomalies across portfolio companies
- Standardized frameworks that scale across diverse technology stacks
Ready to Optimize Your Cloud Costs?
FastFinOps brings practitioners who’ve solved these problems at scale, for the most demanding customers, under the most challenging circumstances. We deliver proven methodologies and measurable results.
If you’re wrestling with cloud costs or want to benchmark your FinOps maturity, let’s talk. Cloud optimization isn’t just about cutting costs—it’s about making every dollar work harder for your business.