Will queries get slower?

The aim is to remove compute nobody is waiting on, so interactive queries are usually unaffected. Anything that would trade latency for cost is flagged and decided by you, not assumed.

Who actually does the work?

A certified senior engineer, personally. There is no account manager layer and no junior delivery team. You meet the engineer who will do the work before anything starts.

What access do you need?

As little as possible, and read-only first. Every change goes through code review and Terraform, so there is a full audit trail, and you can revoke access the moment an engagement ends.

Data & Platform

Warehouse Cost Optimization

Warehouse bills grow in a particular way: a warehouse sized for one heavy job stays that size all month, queries nobody reads run on a schedule, and a table nobody clusters gets scanned in full every time.

Start with the audit

No sales layer, no juniors. You meet the engineer before anything begins.

// What is included

What you get

Idle warehouses downsized automatically instead of billing at full size
Scheduled queries reviewed against whether anybody reads the output
Table and materialisation design revisited where scan volume drives the bill
Spend attributed per team or workload so ownership is possible

// How it runs

The sequence

01
Attribute
Where the compute actually goes, by workload rather than in total.
02
Trim
Sizing, schedules and retention adjusted with the owners.
03
Hold
Guardrails so the bill does not drift straight back.

// Stack

Snowflake
ClickHouse
AWS
Terraform

// Related work

Where this has been done before

Client names under NDA. The numbers are not.

Analytics warehouses under control, PII isolated (NDA)

Single owner for schema and migrations across both warehouses
Managed replication with personal data isolated from the analytics path
Idle warehouses downsized automatically

Warehouse compute brought under control

AWS bill down 46% for a data governance SaaS (NDA)

EC2 and ECS rightsized against real utilization
Eligible workloads moved to Graviton
S3 storage classes and ECR lifecycle policies applied

AWS bill down 46%

All case studies

// Questions

Before you ask

// Also in Data & Platform

Talk to the engineer who would do the work

A 20 minute call. You describe your setup, you get an honest read on whether this helps, and the top risks worth looking at first.

See pricing

Warehouse Cost Optimization

What you get

The sequence

Attribute

Trim

Hold

Where this has been done before

Analytics warehouses under control, PII isolated (NDA)

AWS bill down 46% for a data governance SaaS (NDA)

Before you ask

Related services

Microservices Architecture

Platform Engineering

Data Platform Engineering

Talk to the engineer who would do the work