Fractional Data Engineering

How It Works

From first call to a working data foundation: the five-step process, and what changes once your data has one source of truth.

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Our process

The Five-Step Process

Phases run in order but overlap where they can. Every engagement is different. Priorities and pace are aligned with you at kickoff.

Discovery

Map where your data lives.

Set Up the Foundation

Standards, docs, version control.

What Could Go Wrong (and How We Track It)

Spot problems before they happen.

Privacy & Compliance

GDPR, CCPA, HIPAA handled.

First Deliverable

Built, validated, documented.

See the full process in detail▾

Discovery

We talk through your goals, review what exists, and map where your data lives and how it flows. By the end we've agreed on the first thing we'll build together.

Set Up the Foundation

We document your architecture, establish naming standards, and set up version control, so every change is tracked, nothing is done in the dark, and the next person can pick up where we left off.

What Could Go Wrong (and How We Track It)

We map what could go wrong before it does (sensitive data, unclear scope, systems already in production) and track it weekly so nothing sneaks up on you.

Privacy & Compliance

We confirm which regulations apply to your data (GDPR, CCPA, HIPAA, LGPD, others) and make sure your platform handles retention, deletion, and data sensitivity correctly from day one.

First Deliverable

Whatever we scoped in Discovery gets built, validated on real data, reviewed with you, and documented before we call it done.

After Onboarding You'll Have:

A clear map of your data systems, documented and version-controlled
Risks identified, tracked, and visible to you
Data privacy handled correctly from day one
A first working deliverable reviewed and signed off
Full documentation so your team understands what was built
Weekly updates and quarterly check-ins throughout the engagement

The transformation

From scattered sources to one source of truth

Your data flows out of every tool you use. We connect, clean, and model it, so everything downstream reads from a single trusted place.

Scattered sources

CRM

Ad platforms

Databases

Spreadsheets

Pipeline

Clean · Test · Model

automated, version-controlled

Single source of truth

trusted by your team & your AI

CRM, ad platforms, databases, and spreadsheets flow through one automated pipeline into a single, tested, trustworthy dataset, the foundation everything else depends on.

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Our Guarantees

✓

100% Guarantee

Good delivery shouldn't need convincing, so we guarantee it. No risk on your end: at any point, request your last 30 days of payments back.

✓

Complete Knowledge Transfer

Every system we build is documented so your team can maintain it independently, no dependencies on us.

✓

Transparent Communication

Weekly progress updates so you always know what we're building and why. No surprises, no black boxes.

✓

Built to Comply

We account for the laws and regulations that apply to your data (GDPR, HIPAA, LGPD, CCPA, and others) when building your central data hub, so your foundation is compliant from day one.