Deepak Ingale
I build FinOps systems that cut cloud waste 20-40% — without slowing your engineering team down
I've spent years sitting between finance teams who want the number to make sense and engineering teams who don't want a cost audit derailing their sprint. My job is closing that gap — with dashboards finance trusts and guardrails engineering doesn't fight.
Founder Note
I've spent 8+ years across AWS, GCP, and Azure — first as a DevOps engineer building the infrastructure, then going deep on what that infrastructure actually costs. Across enterprise and client work, I've delivered ₹40+ Crore ($4.8M+) in verified savings on a single large cloud estate, alongside engagements with SaaS and fintech teams at earlier stages.
Most FinOps advice stops at a report. Mine doesn't. I baseline what you're actually spending, prioritize the waste that matters, implement the fix myself — Terraform, dashboards, tagging policy, whatever the situation needs — and come back monthly to check it held.
I work with CFOs who want the cloud bill to stop being a surprise, FinOps leads who want a system instead of a spreadsheet, and platform engineering teams who'd rather not have a cost review blow up their roadmap.
Proof in Numbers
Representative outcomes from hands-on FinOps engagements
Typical Savings Range
Years Building FinOps Systems
Verified Savings, Single Largest Engagement
From Startups to Enterprises
Repeat Engagement Rate
Cost Ownership Built Into Teams
Typical Savings Range
Years Building FinOps Systems
Verified Savings, Single Largest Engagement
From Startups to Enterprises
Repeat Engagement Rate
Cost Ownership Built Into Teams
Before and After Snapshot
Explore how focused FinOps execution changed cost, clarity, and control
B2B SaaS Platform
Transformation summary
Before
- •Spend scaling directly with user growth
- •No rightsizing discipline on compute
- •Storage sitting on default tiers regardless of access pattern
- •No shutdown schedule for non-production environments
After
- ✓Compute rightsized to actual load
- ✓Storage tiered by access pattern
- ✓Scheduled shutdowns for non-prod environments
- ✓20-35% reduction on workloads touched
Business impact
Spend growth decoupled from user growth
Delivery impact
Savings held after handoff — tagging and scheduling stayed in place
Control impact
Clearer capacity planning for engineering
ROI Calculator
Estimate realistic savings based on current monthly cloud spend
Choose your role for tailored framing
View savings as budget predictability and margin protection.
If monthly cloud spend is:
Interactive ROI Calculator
Use this to frame cost discipline, forecast confidence, and margin impact.
ROI Formula: Annual Savings = Monthly Cloud Spend × 12 × 30% (Average Optimization)
How Engagement Works
Six practical steps from first baseline to sustained savings
Baseline in Week 1
Map spend, usage, and ownership so everyone starts from the same facts
Analyze Cost Drivers
Break down what is driving cost by product, team, and workload
Prioritize High-Impact Waste
Rank opportunities by savings, effort, and delivery risk
Implement Safely
Ship rightsizing, commitments, and architecture improvements through your change process
Set Guardrails and Ownership
Put budgets, alerts, policies, and clear accountability in place
Run Monthly FinOps Cadence
Keep visibility, decisions, and optimization active as architecture evolves
Pricing & Engagement Models
Pick the depth you need: diagnose, implement, or run FinOps as a long-term function
Advisory Sprint
Best for: Initial baseline and action plan
- •Full cloud audit
- •Cost optimization report
- •Savings opportunities
Starting From
$499 / ₹40,000
Implementation Engagement
Best for: Teams ready to execute changes
- •Cloud audit
- •Implementation
- •Optimization
- •Governance setup
Starting From
$2,500 / ₹2L
Fractional FinOps Leadership
Best for: Ongoing ownership and governance
- •Ongoing optimization
- •Architecture guidance
- •Cost monitoring
- •FinOps governance
Starting From
$3,500 / month
Let's Talk About Your Cloud Spend
I'll review your current setup and share where savings are realistic.
No hard sell. Just a practical first conversation.
Why Teams Bring Me In
Clear ownership, measurable savings, and zero theatre
I'm not a consultant who hands you a slide deck and disappears. I write the Terraform, I build the dashboard, and I'm still around a month later to see if the savings held.
I've worked across AWS, GCP, and Azure, in companies from early-stage startups to multi-million-dollar enterprise estates — so I know the difference between advice that sounds right and a fix that survives contact with a real environment. The governance I put in place keeps working after I leave, because it's built into how your team operates, not bolted on top.
Strategy + Delivery in one person
I do not stop at recommendations; I help teams execute the roadmap.
Finance and engineering alignment
I translate technical changes into outcomes CFOs and leaders can trust.
Multi-cloud practical depth
AWS, Azure, and GCP experience with real-world migration and optimization tradeoffs.
Works from startup speed to enterprise rigor
I adapt cadence and controls to your stage instead of forcing one playbook everywhere.
Controls that last
Budgets, alerts, ownership, and automation to prevent cost drift after the first win.
Partner for ongoing improvement
I stay close through monthly reviews so savings remain durable, not temporary.
Selected Outcomes
What changed, how it was done, and what the business gained
B2B SaaS Platform — 20-35% Cost Reduction
Challenge
Spend scaled with user growth, with no rightsizing discipline and storage stuck on default tiers
Solution
Rightsized compute to actual load, tiered storage, and scheduled shutdowns for non-production environments
Result
- ✓20-35% reduction on workloads rightsized
- ✓Savings sustained after handoff
- ✓Scalable architecture
FinTech Startup — Commitment Waste Reduced
Challenge
Reserved capacity purchased once and never revisited; spend spikes surfaced weeks late
Solution
Rebuilt the commitment portfolio to match usage and added anomaly detection
Result
- ✓Meaningful cut in commitment waste
- ✓Anomalies caught in days, not a billing cycle
- ✓Finance and engineering aligned on alerts
Enterprise Multi-Cloud — Unified Cost Governance
Challenge
Fragmented views across AWS and GCP left finance and engineering working from different numbers
Solution
Built a unified dashboard, a proportional cost-attribution model, and a full governance stack
Result
- ✓One dashboard everyone trusts
- ✓Governance that holds month over month
- ✓Cross-team accountability
The F.I.N.O.P.S.™ Framework
The operating system I use to turn one-time savings into repeatable practice
Six steps. I run all of them, in order, every engagement.
F — Find Waste
Identify idle resources, duplicate tooling, and avoidable spend
I — Investigate Cost Drivers
Trace cost to workload behavior, architecture, and ownership gaps
N — Normalize Infrastructure
Rightsize compute, storage, and data paths to fit real demand
O — Optimize Workloads
Improve runtime efficiency while protecting reliability and delivery speed
P — Put Governance Controls
Set budgets, tagging policy, allocation rules, and clear team ownership
S — Sustain Optimization
Run recurring reviews and automation to prevent cost regressions
What I Actually Deliver
The capabilities used repeatedly in real client engagements
FinOps Strategy & Governance
Operating model, cadence, and accountability across finance and engineering
Multi-Cloud Architecture
Practical architecture decisions across AWS, Azure, and GCP
Cloud Cost Optimization
Lower spend while protecting reliability and delivery speed
Cloud Auditing & Cost Analysis
Surface top cost drivers and high-impact waste opportunities
Budget Forecasting & Cost Allocation
Forecast confidence with allocation that leaders can trust
Automation & Monitoring
Guardrails, alerts, and automation to prevent cost drift
Kubernetes & Container Optimization
Tune cluster economics without compromising workload stability
Cloud Migration & Modernization
Migration plans that improve both architecture quality and unit economics
Executive Reporting & Financial Communication
Present savings outcomes directly to CEOs and CFOs in language they trust
Platforms and Tooling
The systems used to deliver repeatable FinOps outcomes
AWS
Amazon Web Services
Microsoft Azure
Azure Cloud Platform
Google Cloud
Google Cloud Platform
Kubernetes
Container Orchestration
Terraform
Infrastructure as Code
Docker
Containers & Orchestration
FinOps & Cost
Cost Explorer, Billing, Rightsizing
CI/CD & DevOps
Jenkins, Git, Automation
Monitoring
CloudWatch, ELK, Alerting
AWS
Amazon Web Services
Microsoft Azure
Azure Cloud Platform
Google Cloud
Google Cloud Platform
Kubernetes
Container Orchestration
Terraform
Infrastructure as Code
Docker
Containers & Orchestration
FinOps & Cost
Cost Explorer, Billing, Rightsizing
CI/CD & DevOps
Jenkins, Git, Automation
Monitoring
CloudWatch, ELK, Alerting
How I Work
I build systems, not slideware. A report tells you what's wrong. A system keeps it from going wrong again.
My approach is the same every time: baseline what's actually happening, prioritize the fixes that matter, implement them myself, then come back and check the numbers held. If they didn't, I find out why.
Builder, not slideware
I do the strategy and the implementation. You get decisions made, changes shipped, and measurable savings tracked in production.
Operator mindset
I treat cloud cost like an operating system: visibility, ownership, and repeatable controls, not one-off cleanup.
My Mission
Help teams spend with intent, so growth does not automatically mean runaway cloud bills.