Van Data Team

Cloud Cost Optimization Services: cost, scope, and how to hire

Enterprise-grade cloud cost optimization — cut 20-60% in 8-14 weeks

Hire Van Data Team to cut your AWS, GCP or Azure bill 20–60% in 8–14 weeks, without slowing delivery, breaking reliability, or rebuilding the savings six months later.

We ship the architecture work, not a report. We pair every cost change with a reliability review. We install the guardrails that keep savings durable past month six. Cloud cost optimization engagements start with a free 30-minute Discovery Call. Pricing is fixed-bid and custom-scoped, from $500 — typically 80–95% less than US partner pricing for equivalent scope.

Book a Free 30-Min Discovery CallSee Portfolio

What you get when you hire us

A complete cost optimization engagement, not a dashboard subscription. Every Production Build ships these deliverables:

  • A workflow-mapped spend audit that groups every cloud dollar by ingestion, storage, transformation, analytics delivery, and experimentation, instead of by AWS service.
  • A right-sizing implementation for EC2, GKE, Cloud Run, Lambda, and autoscaling, with reliability review attached to every change.
  • Lifecycle and retention policies for S3, GCS, Blob storage, and warehouse datasets, with archive tiers for data still worth keeping.
  • Query and partition optimization for BigQuery, Snowflake, or Redshift, slot vs on-demand decisions, partition rebuilds, dashboard query audits, dead-query cleanup.

Final scope and pricing agreed on the discovery call, based on your platform size and goals.

Outcomes we've shipped

Verifiable proof, not marketing claims. Every number below is tied to a specific engagement.

EngagementAWS data stack reduction
Cloud
AWS
Outcome60% bill reduction without slowing delivery
EngagementMulti-region Airflow modernization
Cloud
GCPGKE
Outcome38% infrastructure reduction with improved failover
EngagementFortune 500 BigQuery warehouse
Cloud
GCPBigQuery
Outcome95% reporting time reduction, 30+ KPIs automated
Engagementdbt finance reporting acceleration
Cloud
BigQuery
Outcome65% faster month-end close

Founder-led delivery: 5.0 / 5.0. The same senior owner runs every cost engagement from billing-export pull through guardrail handoff.

Book a 30-min discovery callSee our Case Studies

How we work: the workflow-mapped approach

Our cloud cost optimization services typically deliver 20–60% reductions, not the 5–15% most teams see from FinOps tooling alone. The reason is one architectural decision: we map every dollar of spend to a workflow, not to a service.

Why service-grouped cost reports stall optimization

Standard reports tell you S3 is expensive. They don't tell you which workflow generated the storage, which team owns it, or whether the query pattern justifies the bill. Engineering doesn't know what to cut, finance can't tell waste from load, and the conversation loops back to "we'll look into it next quarter."

Why service-grouped cost reports stall optimization

Engagement packages and pricing

Project-based pricing, transparently scoped. Pick one based on where you are in the work.

Discovery Call

Free, 30 minutes

A direct read on your platform and spend. No pitch, no slides, no intake form.

You get:

  • Honest fit assessment of your current cloud cost problem
  • Rough savings estimate based on what you share
  • Recommendation on which engagement makes sense
  • "Talk to someone else" when that is the right answer

Best for

Anyone evaluating cloud cost work who wants a senior second opinion before spending budget.

Production Build

Fixed-bid, custom-scoped, from $500

Most Popular

The full cloud cost optimization engagement. Pricing and timeline are agreed on the discovery call, scaled to platform size, cloud mix, and compliance scope. Most engagements run 2–14 weeks end-to-end.

Best for

Teams with a cloud bill that grew faster than the platform and need durable savings, not a dashboard.

Embedded Partner

Ongoing retainer, fixed monthly scope

Keeps savings durable past month six. Monthly scope is custom-quoted based on platform size and review cadence — typically a fraction of US boutique retainer pricing.

You get:

  • New-workload guardrail review
  • Reserved Instance / Savings Plan / CUD refresh on schedule
  • Query cost telemetry monitoring
  • Drift detection
  • Monthly cost review
  • Incident response

Best for

Teams without an in-house FinOps lead who need senior cost discipline as a recurring program.

For reference: comparable Production Build scope from US partners (CloudReach, Rackspace, Duckbill, ProsperOps) typically runs $50K–$300K one-time and $5K–$25K/month on retainer. They're the right call when US-based vendor presence is a hard requirement. Van Data Team is the right call when you want the same senior implementation at boutique pricing, from the engineer writing the Terraform, not an account manager.

Book a 30-min discovery call

Industries and workloads we cover

Our cloud cost optimization services are strongest where modern data and AI workloads dominate the bill. Specifically:

B2B SaaS and product companies

EC2 / GKE / Cloud Run right-sizing, RDS and Postgres tuning, S3 lifecycle, Athena query patterns, dashboard cleanup.

Typical buyer: CTO, head of platform, or head of data at growing tech companies.

Data and analytics teams

BigQuery slot vs on-demand strategy, partition rebuilds, dbt model layering for cost, dashboard query audit, Snowflake credit optimization.

Typical buyer: Head of data with a warehouse line item that grew 40%+ in a year.

FinTech and regulated workloads

SOC2 and GDPR-aligned controls, BAA where applicable, read-access only auditing, no production data leaving the customer cloud. We co-vendor with US-based partners for HIPAA-covered PHI when BAA chain matters.

Typical buyer: Compliance-conscious finance and fintech teams.

FinOps-led organizations adopting it for the first time

First FinOps audit, tagging strategy from scratch, baseline establishment, recurring review cadence. We hand the program off to an internal owner if you have one, or stay on retainer if you don't.

Typical buyer: Teams building their first cost discipline program.

E-commerce and high-traffic platforms

Always-on capacity sizing, CDN and egress cost mapping, Black Friday / peak-hour reliability paired with cost discipline. We name what we won't cut so peak hours don't break.

Typical buyer: Platforms where peak traffic defines the reliability constraint.

We don't take engagements where the cloud spend is under $10K/month, payback won't math, and a free-tier cost-tooling subscription plus an internal owner is a better fit. We say so on the call.

Why hire Van Data Team specifically

Three things make the engagement different.

Founder-led deliveryThe same senior engineer scopes, audits, implements, and ships guardrails. Decisions move at the speed of the person writing the Terraform. No junior bench, no account managers between you and the architecture choice.
Cost-to-seniority ratioVan Data Team operates as a Vietnam-based boutique with senior-only delivery. The artifacts and rigor match a US shop. The right question is whether you need US-based vendor presence for executive comfort, or whether you'd rather work directly with the engineer who writes the code. About 70% of our buyers prefer the second answer.
Production discipline by defaultReliability review at every cost change. Guardrails ship as part of the build, not as a $5K/month upsell. A 30-day post-launch optimization window. Runbooks for the failure modes we've actually seen. We've been on call for cloud bills before.
Talk to the Founder

How a typical engagement runs

Every engagement is scoped to your stack, team, and compliance needs. The timeline below shows a typical mid market Production Build. Your actual plan is shaped during discovery and signed off in Week 2.

Founder + your platform lead.

Founder + your team's ICs.

Typical 10 to 20% cost reduction by end of week 4.

Reliability review on every batch.

New workloads onboard against the guardrails.

How scope shifts the timeline

Single cloud, single warehouse

Often finishes by week 8.

Mid-market, single cloud

About 10 weeks.

Multi cloud

13 to 15 weeks.

HIPAA, SOC2, or regulated data

13 to 15 weeks with extra documentation and access control work.

If your scope sits outside these brackets, we quote the timeline during discovery before signoff.

A typical Production Build runs about 10 weeks for a single cloud mid market stack. Quick wins of 10 to 20% reduction usually land by week 4. Multi cloud or compliance heavy scope extends to 13 to 15 weeks.

150+ Companies Have Chosen VANDATATEAM

Over 150 AI Agent, Data Engineering, and automation projects delivered across 15+ countries. For Cloud Cost Optimization, our engagements have cut warehouse and compute spend by 20–60% across SaaS, finance, and B2B platforms. We ship systems that hold those savings six months after launch, not one-time audits that drift back.

Ahrvo logo

Ahrvo

Banking, Payments & Compliance API

Athenahealth logo

Athenahealth

Clarify IQ logo

Clarify IQ

Cleargen logo

Cleargen

Conversion Finder logo

Conversion Finder

Debit My Data logo

Debit My Data

Ellipsis Earth logo

Ellipsis Earth

Litter and pollution intelligence

Finance Scaler logo

Finance Scaler

Forskningslogen Friederich Munter logo

Forskningslogen Friederich Munter

HBC logo

HBC

Hello Alma logo

Hello Alma

Hudson's Bay Company logo

Hudson's Bay Company

Kejora logo

Kejora

Kiki AI logo

Kiki AI

Lunada logo

Lunada

OBJX logo

OBJX

Praxis AI logo

Praxis AI

Human-First Digital Twin AI

Rarity Capital logo

Rarity Capital

Re Talk Py logo

Re Talk Py

Setmore logo

Setmore

Stock Exploit logo

Stock Exploit

Supply Bridge logo

Supply Bridge

Thrive 5 IR logo

Thrive 5 IR

Voodoo logo

Voodoo

Iconic apps and games

Wajooba logo

Wajooba

White Ribbon Alliance logo

White Ribbon Alliance

With Words logo

With Words

You Heal logo

You Heal

Companies That Achieved Breakthrough Savings With
Cloud Cost Optimization of Van Data Team

From runaway BigQuery bills, over-provisioned compute, untagged workloads, and missed Reserved Instance opportunities, Van Data Team has shipped end-to-end cost optimization programs that drive real margin impact. Below are some standout Cloud Cost Optimization case studies.

Challenge

A high-performance UK sales team needed daily KPI capture with a serious LLM cost cap — single-digit dollars per month was the budget.

What We Did

Swapped Claude Sonnet for Claude 3.5 Haiku for unstructured Slack-message extraction. Deployed the pipeline to Cloud Run Jobs on an hourly Cloud Scheduler trigger, with BigQuery as the sink — daily-partitioned by kpi_date and clustered on team_member.

Key Results

  • ~92% LLM cost reduction by selecting Haiku over Sonnet without sacrificing extraction quality
  • ~$20/year operating cost on Cloud Run Jobs + Scheduler at production reliability
  • BigQuery partitioning + clustering for efficient queries across daily KPI history
  • Idempotent re-runs via slack_message_ts deduplication
GCPCloud RunCloud SchedulerBigQueryClaude Haiku

What clients say about our Cloud Cost Optimization services

Van Data Team builds CFO-grade cost optimization programs on top of your existing platform: BigQuery, Snowflake, AWS, or GCP. Workload-tagged billing, right-sizing implementation, RI/Savings Plan/CUD execution, drift detection, and runbooks your team can actually own. The same senior engineer who scopes your build also hardens it in production.

Verified review signal

5.0

71 reviews on Upwork

5 stars
69
4 stars
2
3 stars
0
2 stars
0
1 star
0
See Upwork Reviews
CS

Chod S.

5.00

February 25, 2026

Data Extraction & Automation Engineer for Large Document Repository

Verified rating captured from the shared Upwork review screenshots.

CK

Chris K.

5.00

December 30, 2025

FT Platform Phase #2

"Great backend developer, highly recommend!"
GB

Gilad B.

5.00

December 18, 2025

Phase 0: Design a granular data schema and structure, and full tool flow

"Very knowledgeable and professional. Good communication"
CK

Chris K.

5.00

December 5, 2025

BQ Pipeline Automation + Lightweight API

Verified rating captured from the shared Upwork review screenshots.

AB

Ari B.

5.00

November 25, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

TS

Tomer S.

5.00

September 9, 2025

Data handling

Verified rating captured from the shared Upwork review screenshots.

JD

Julio D.

5.00

July 16, 2025

Web scraper in R

"Tran was great, very knowledgeable and quick responses"
JY

Jason Y.

5.00

June 13, 2025

Flowise N8N AI Agent Builder

Verified rating captured from the shared Upwork review screenshots.

AP

Adam P.

5.00

May 26, 2025

scrape data for research project

Verified rating captured from the shared Upwork review screenshots.

DM

Dillon M.

5.00

May 16, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

BV

Bernard V.

5.00

May 12, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

PT

Preska T.

5.00

April 10, 2025

LLM

Verified rating captured from the shared Upwork review screenshots.

MM

Madison M.

5.00

March 31, 2025

Review Git Pull Requests

"Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future."
DC

David C.

5.00

March 29, 2025

You will get AWS, GCP and Azure Data pipeline

"Great platform to interface with developer."
AJ

Alex J.

5.00

February 18, 2025

You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools

"Fast, responsive, professional. Really appreciated the thorough documentation too."
TS

Tomer S.

5.00

December 12, 2024

Create Web scraper for Facebook

"Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer."
PT

Preska T.

5.00

October 21, 2024

You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools

"I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence."
AW

Alice W.

5.00

June 28, 2024

Data Pipeline

Verified rating captured from the shared Upwork review screenshots.

AW

Alice W.

5.00

May 26, 2024

Admin Panel for Data Management

"AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend."
NS

Nic S.

5.00

May 15, 2024

Web scraping - Project review and proposal

"Excellent work. I'd be very happy to work with Tran in the future."
PK

Paris K.

5.00

March 22, 2024

Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1

"Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again."
YK

Yalcin K.

5.00

March 18, 2024

Python Developer to Build a Shopify Integration

"Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks."
OD

Omer D.

4.80

March 5, 2024

Attach Stripe webhook to Flask server

Verified rating captured from the shared Upwork review screenshots.

Frequently Asked Questions

Pricing is fixed-bid and custom-scoped on the Discovery Call. Narrow audits start around $500; full Production Builds scale up based on platform footprint, cloud mix, and compliance scope. Most engagements land 80–95% below comparable US partner pricing (CloudReach, Rackspace, Duckbill, ProsperOps run substantially higher both one-time and on retainer). Cost-tooling SaaS like Vantage or CloudHealth covers visibility only, not implementation. We won't quote a number without seeing your cloud profile.

First-wave savings appear in 2–4 weeks through lifecycle policies, right-sizing, and dashboard cleanup. Architectural savings of 20–60% land in 8–14 weeks through query optimization, RI/Savings Plan purchases, and re-architecture. Most engagements pay back within the first quarter post-launch.

Yes, when cost review pairs with architecture review. We name what we won't cut on every engagement: always-on capacity that absorbs traffic spikes, compute that underpins customer-facing latency, storage with active query pressure. The 60% reduction in our most-cited AWS case study shipped without a single SLA regression.

All three. AWS-strongest, GCP-strong, Azure-capable. The framework is identical across clouds (workflow-mapped audit, right-sizing with reliability review, lifecycle policies, guardrails). The pricing primitives differ: AWS Reserved Instances and Savings Plans, GCP Sustained and Committed Use Discounts plus BigQuery slot reservations, Azure Reservations and Savings Plans. We disclose depth honestly on the discovery call.

Yes, when structured properly. We work read-access only, no production data leaves your cloud, full audit logs of every action, signed BAA or DPA where applicable, and right-to-audit clauses. We've shipped under SOC2 and GDPR-aligned controls with EU and US healthcare-adjacent clients. HIPAA-covered PHI typically requires a US-based co-vendor for BAA chain reasons; we partner accordingly.

Production Build is fixed-bid, scoped before signing on the discovery call. Embedded Partner is fixed monthly scope with no hourly billing. Most clients sign through Upwork (verified reviews, contract setup, payment protection) or direct contracts. We can sign MSA / SOW for procurement-led engagements. We don't do percent-of-savings billing because it creates an incentive to over-cut.

Three guardrails ship as part of every Production Build: workload-tagged billing so every dollar has an owner, budget alerts per workflow routed to the team that can act, and a recurring 30-minute monthly review. Without these, 40–60% of cost-cutting savings drift back inside a year industry-wide. With them, savings stay durable. The Embedded Partner retainer keeps the program running past month six.

Yes. We're tool-agnostic. About 30% of our buyers run a cost-tooling SaaS for visibility while we ship the architecture work. The two pair well: the dashboard surfaces drift, we close it. We don't recommend tooling you don't need; we'll recommend free-tier alternatives (AWS Cost Explorer, GCP Cost Management) when they're sufficient.

Book 30-minute discovery call

If your cloud bill grew faster than your team this year, your last cost sprint drifted back, or your data warehouse is the largest line item, the fastest next move is a free 30-minute Discovery Call. Low risk, no pitch.

Tran Tien Van, Founder of Van Data Team

Related Van Data Team service lines

AI Agent Development

Production LangGraph, CrewAI, OpenAI Assistants, and Claude tool-use workflows.

Web Scraping & Automation

Playwright-first scraping runtimes, proxy strategy, validators, and warehouse delivery.

Data Pipeline Development

Airflow, Kafka, dbt, BigQuery, and freshness SLAs for the data behind automation.