Production data systems for operators

I build the data systems your business runs on.

18 months embedded at CSL Capital building their deal scoring and portfolio dashboard. Before that, KIN Home's BigQuery warehouse and daily ops reporting.

What you can buy

Three ways to start

Book the call that matches the work. I'll ask what's breaking, who owns it, and what needs to be true for the build to pay for itself.

Data Clarity Diagnostic

$1.5K - $3K1-2 weeks

Map what you have. Find what's worth building next.

  • Workflow map of your current data operations
  • Data source inventory with quality assessment
  • Top 3 highest-impact opportunities ranked
  • Recommended build scope and timeline
Most popular

Decision System Sprint

$7.5K - $15K3-5 weeks

Ship one data tool into production.

  • One production-ready dashboard, automation, scoring model, or AI workflow
  • Integrated with your existing systems
  • Demo every Friday, deployed at the end
  • Handoff docs included

60-90 Day Embedded Build

$20K - $50K+60-90 days

Build a piece of operating infrastructure your team runs on.

  • Production-grade pipeline, app, dashboard, or intelligence system
  • I embed in your domain and learn how work actually flows
  • Handoff docs, runbook, and team training
  • Optional retainer for ongoing iteration
Case studies

What clients walked away with

Behavioral health workflows

Challenge

Staff running the same manual workflows 15 minutes at a time, plus a monthly process that consumed a full hour to harden.

Solution

Mapped and automated three core workflows into repeatable, fast routines.

Result

Daily processes: 15 min to under 5 min. Monthly hardening: 1 hr to 20 min. Staff recaptured hours every week for client care.

Process automationPythonWorkflow design

Solar installer forecasting

Challenge

No visibility into future installation completions. Sales and ops working from different numbers.

Solution

Built forecasting system with user-controllable conversion rates, seasonality, and growth factors connected to live pipeline data.

Result

6-month forward visibility per installer. First accurate forecast in company history.

DOMOETLForecasting

MCA loan analytics

Challenge

Manual reconciliation across 840 API calls per pipeline run. No risk scoring. Reports took 30 minutes to assemble.

Solution

Automated grading system with ROI scoring, correlation analysis, and reconciliation layer across HubSpot and QuickBooks.

Result

840 API calls reduced to 6. Reports: 30 min to 26 sec. Risk team reviews flags, not raw data.

PythonSupabaseHubSpot

Unified operations dashboard

Challenge

Data scattered across CRM, accounting, and ops systems. No single view of the business.

Solution

Single data layer connecting QuickBooks, HubSpot, and custom APIs.

Result

One source of truth. Leadership sees the full picture every morning without manual assembly.

GCPBigQueryLooker
How it works

60 – 90 days, start to ship

01

Embed

First week: I sit with your operators and learn how work actually flows.

02

Map

Diagram the systems, the data, the stuck places. Pick one painful thing to fix first.

03

Ship

Weeks 2–8: build, test, and deploy. Demo every Friday. No ceremony.

04

Hand off

Docs, runbook, and training. Your team owns it when I leave.

05

Stay close

Optional retainer for iteration. Most clients keep one.

David Hyde
About

One operator. Four domains. Ten years of shipping.

I'm David Hyde. Senior data scientist turned one-person shop. I've built internal tools across solar, financial services, sports analytics, and ranching — the kind of tools operators actually open before their first meeting.

I don't do decks. I write the pipeline, ship the dashboard, and train your team to own it. When I leave, the tool stays.

Connect on LinkedIn →
Not sure which path fits?

Tell me what's breaking. I'll help sort the first move.

For when you're between a diagnostic, sprint, or embedded build.