Technology

The system has
to actually run.

This is the technical side of the practice: data engineering, APIs, cloud infrastructure, web builds, internal tools, and the practical engineering needed to make a business answer repeatable.

BUILD LAYERFIG. 04
A stylized chip showing data, APIs, cloud work, and tools connected into a usable system.BuildlayerSYSTEMSDATAAPISCLOUDTOOLS
Data, APIs, and cloud work.
Built into something usable.

Technology as the build layer

Data, systems, and software with business judgment attached.

The technology work is not separate from the strategy. It is how the strategy survives contact with daily operations: clean inputs, reliable jobs, useful interfaces, and a system someone can maintain.

I am not selling a narrow engineering title. I am selling the ability to understand the business problem, design the technical path, and build enough of it to make the answer real.

Main workstreams

The technical lane.

Useful for corporate consulting, freelance work, and the business-card version of the site.

01

Data engineering

SQL models, ETL jobs, warehouse structure, BigQuery, APIs, and pipelines that keep reporting current.

02

Cloud and infrastructure

Google Cloud systems, scheduled jobs, server logic, monitoring habits, and practical architecture for small teams.

03

Internal tools

Back-office apps, workflow automation, dashboards, and interfaces that replace brittle spreadsheet routines.

04

Web builds

Focused websites, repairs, integrations, and launches where AI makes the economics of small builds make sense.

Where it shows up

Technology is the engine
under the visible offer.

AI implementation needs connected systems. Strategy needs models and data. Attribution needs collection, joining, and reporting. The technology page gives that throughline a home instead of hiding it behind the word services.

InputsEvents · CRM · POS · billing
SystemsAPIs · SQL · cloud jobs
InterfacesDashboards · tools · websites
OutcomeLess manual glue

Relevant work

Technology attached to business outcomes.

Explore case studies

NVA Pet Resorts

CRM and point-of-sale APIs from hundreds of locations into a warehouse, supporting customer lifetime value and retention models.

Ticketmaster

A cross-platform analytics implementation across 60 brand sites, with engineering coordination across web, iOS, Android, and mobile web.

A question is a good place to start

What’s not working?

Let’s work on it

The numbers, the process, or the system behind them. Tell me where you’re stuck.