Data engineering & analytics

Your data platform, engineered end to end.

We help mid-market e-commerce, retail and operations-heavy businesses get their numbers right. Pipelines, warehousing, ERP integration, reporting and practical AI - built by a team that has run all of it in production, not just advised on it.

Capabilities

What we do

Six engagements that cover most of what a growing business actually needs - each one scoped, delivered, and documented. Pricing is quoted per engagement, so ask and you will get a written number.

01

Data platform health & SQL performance audit

A ranked, dollar-scored list of what is slow, what is broken and what to fix first - produced from your live systems rather than a questionnaire.

02

Modern data stack build

Ingestion to warehouse to tested models, with documentation, monitoring and a handoff your team can actually own. Orchestration and CI included.

03

ERP & business system integration

Orders, customers, products, payments and refunds flowing between your ERP, storefront and warehouse - with reconciliation reports your controller can read.

04

Reporting & BI rescue

Consolidate overlapping BI tools, define each metric once, rebuild the dashboards that decisions depend on, and retire the spreadsheet reporting layer.

05

AI readiness & agent deployment

An honest answer on whether your data can support AI - then one bounded agent workflow shipped to production on your own infrastructure, with evals and rollback.

06

Fractional data lead

Senior ownership without a senior hire: roadmap, vendor decisions, hiring support, production coverage and hands-on delivery capacity each month.

Method

How engagements run

Fixed scope, fixed fee, and a written definition of done before anything starts.

01 / Diagnose

Assess the live platform

A short paid assessment of pipelines, queries, data quality, costs and the decisions the business cannot currently make.

02 / Foundation

Fix the layer underneath

Ingestion, modeling and quality first. Everything downstream - reporting, forecasting, AI - is only as good as what it sits on.

03 / Outcome

Ship one measurable result

One result per phase, agreed up front: cost removed, hours returned, error rate down, revenue line up.

04 / Ownership

Stay accountable after go-live

Monitoring, documentation and a named owner, so the platform does not quietly rot the moment the project ends.

Why this firm

Why work directly with us

We scope the work and we deliver it. No account manager relaying requirements, no junior team learning your business on your budget, and no handoff gap between the strategy and the build.

Background in brief: eight years owning a company's data platform end to end - ingestion and integration across many business systems, cloud migration, streaming and batch pipelines, modeled and tested transformation layers, BI delivery, database performance tuning, and AI agent workflows running on self-managed infrastructure.

More about the background

Next step

Start with the small thing

Most relationships start with an assessment and expand from there. If the assessment says you do not need the big project yet, that is what it will say.