Data engineering for SaaS

Data engineering for SaaS.

We pull data scattered across your CRM, billing, product, and support tools into one warehouse, without one tenant ever seeing another tenant's numbers.

★★★★★ 5.0 on Clutch/Snowflake & Databricks partner/You own the pipeline

180+
Projects delivered
99%
Client satisfaction
18+
Countries served
11 → 1
Source systems consolidated into one warehouse
The build

One warehouse. Every tenant isolated.

B2B SaaS · Data consolidation11 systems → 1 warehouse

11 source systems, one Snowflake warehouse, zero cross-tenant leaks

A growing B2B SaaS platform had customer, billing, product, and support data spread across 11 operational systems. We consolidated it into a single Snowflake warehouse with tenant isolation enforced at the warehouse layer.

Sources
CRM · billing · product · support
Isolation
Row-level security, warehouse layer
Powers
Exec reporting · health scores · self-serve analytics
Platform
Snowflake
Snowflakerow-level securityELTmulti-tenant warehouse design
Our default: row-level security over schema-per-tenant. Schema-per-tenant means re-running every migration across a thousand schemas. RLS scales with your customer count, not against it.
What we do

The same approach, applied to what's specific to your stack.

01

Multi-tenant warehouse design

Isolation enforced at the data layer, not hoped for at the app layer.
row-level securityschema design
02

Product analytics pipelines

One number, everywhere it shows up.
event pipelineswarehouse modeling
03

Usage & billing data

Metering that matches the invoice, every time.
metering accuracyrevenue reconciliation
04

Snowflake & Databricks migrations

Certified on both. We tell you which fits before we start.
migrationcost optimization
✦ Start here

Tell us what your data stack is costing you.

30 minutes tells you whether the fix is a config change or a rebuild. We'll tell you which, even if it's not a project for us.

30-minute callYou own the pipelineNo obligation