WALT RINESHands-on Builder · Marketing Ops · MarTech Lead

Employer Portfolio — 2025–26 Build Log

I build and own the marketing-and-data stack.
End to end. For ROI.

I'm a hands-on applications builder, not a planner or a spec-sheet generalist. I take ownership of the whole tickets stack — from the SMB tools (GoHighLevel, n8n, call-center) up to enterprise data platforms (BigQuery, Databricks, Segment, Looker, Salesforce Marketing Cloud) — and I wire it to produce measurable, ROI-focused marketing and revenue outcomes. Platform-agnostic by nature: I pick the right tool for the job and I build it myself, screenshots to prove it.

HANDS-ON BUILDER MARKETING OPERATIONS EXPERT MARTECH LEAD DATA + CDP AI WORKFLOW AUTOMATION ROI-FOCUSED
See the client results See the build ↗
walt-rines — builder.jshands-on
const me = {
  role: 'Marketing Ops Expert',
  mode: 'Hands-on applications builder',
  scope: 'Owns the stack end to end',
  tools: {
    'SMB':      ['GHL', 'n8n', 'CallTools', 'ViciDial'],
    'Enterprise': ['BigQuery', 'Databricks',
                       'Segment', 'Looker', 'SFMC'],
    'AI':       ['agentic', 'workflows', 'model routing']
  },
  metric: 'ROI, not tickets'
};
30+
Years building growth & data systems
From email-marketing pioneer to modern CDP
7+
Client case studies with hard numbers
Each funnel + paid-media result linkable
$20M
VC raised scaling a MarTech platform
TargitMail → 120 employees
100%
Stack owned end to end
Ads · CRM · calls · data · BI · AI

01 — The Build

I don't configure a stack. I own it.

Data architecture, MarTech, and operations aren't separate functions to me — they're one build with one goal. I design it, wire it, run it, and measure it end to end. Screenshots below are from the platform I built and operate.

🗂️

Data architecture & CDP

Bronze/Silver/Gold lakehouse on Databricks, BigQuery marts, Fivetran ETL/ELT, Looker, Segment, Salesforce MC. Reverse-ETL so the data activates, not just stores.

🔩

MarTech & operations

GoHighLevel, n8n, call-center (ViciDial), CallTools, ads. Built and operated as one system — a custom agent workspace, call-intelligence, attribution, and pay.

🤖

AI workflow automation

Modular multi-model agentic AI — scheduled collectors, webhooks, human-in-the-loop, fallback routing. Automation that accelerates the build, not replaces judgment.

Databricks Unity Catalog · Modern / ML

Fivetran landing → raw → clean → business

Bronze / Raw· Fivetran landing
↓
Silver / Clean· Deduped, typed, validated
↓
Gold / Business· Features, Genie, ML
Silver sync → BigQuery (scheduled / Hightouch)
Gold sync → BigQuery (daily 5:45 AM)

BigQuery · Legacy · Marketing / Finance

Fivetran → raw → dbt/Dataform → marts

Raw / Bronze· Fivetran landing
↓
Silver· dbt / Dataform models
↓
Gold· Marketing / Finance marts
Looker dashboards — Marketing · Finance · Claims
Reverse ETL → Hightouch / Census → Salesforce MC
Fivetran data pipeline: Databricks Unity Catalog + BigQuery Bronze/Silver/Gold Production data pipeline — Fivetran → Databricks Unity Catalog (Modern/ML) + BigQuery (Legacy) with Bronze/Silver/Gold, syncs and reverse-ETL.
Looker time-series: visit volume and revenue monitor Looker BI — visit volume & revenue monitor; one of the operational dashboards delivered.
GoHighLevelSMB CRM
BigQueryWarehouse
DatabricksUnity Catalog · ML
FivetranETL / ELT
SegmentCDP
Looker / StudioSemantic BI
Salesforce MCJourneys
n8nAutomation
ViciDial Call center
Hightouch / CensusReverse ETL

02 — Client Results, Prior Work

I've done this before. With hard numbers.

Prior client work — fractional CMO / MarTech builds. Every one with a measurable, marketing-relevant outcome. Full case studies are one click away.

Case Study · Paid Media + Funnel

Backpack Trader

Backpack Trader day-trading guide funnel pageDay-trading guide capture page

A $4.99 day-trading ebook engine. 1,553 buyers in 30 days at only $76 each, with the micro-funnel turning profitable alongside.

Read case study
Front · Video Funnel + Meta

Market Traders

Market Traders ebook purchase funnelEbook micro-purchase funnel

Turned a $4.95 checklist into a 4× ROI funnel — micro purchases for under $40 a buyer, feeding a $2,495 webinar offer.

Read case study
Front · Video + Meta

Agent Wealth Accelerator

Agent Wealth Accelerator appointment funnelAppointment VSL funnel

Crushed the $200 CPA goal — booked calls down to $137.85 in 30 days, with a clear path to sub-$100. Real-estate coaching VSL funnel.

Read case study
Front · Google Ads + Funnel

American Guards Security

American Guards VSL page 2Qualified VSL funnel

Booked security-service calls for $20 (target $200) — 'near me' + call-only Google Search ads feeding a qualified funnel.

Read case study
Front + Back-end · CRM & data

Ultimate Tax Group

Ultimate Tax Group VSL pageVSL + qualification funnel

Front-end VSL funnel plus a CRM call-screening middleware that warmed transfers to the floor — qualified SQLs around $20 each.

See the funnel
Full positioning

321 Media · CMO deck

321 Media appointment registration pageB2B appointment-registration page

B2B call bookings around $120/booked appointment (peaks $75 after AB/CRO) — plus the 7-page CMO positioning deck.

Read the deck

03 — The Build, In Screenshots

Proof it's real. Not slides.

The /agc-next agent call-center workspace, the Call Intelligence + Pay platform, the analytics, the ads. Each is a working system I built and run.

/agc-next workspaceViciDial /agc-next workspace — full agent call UI with solar roof + google-buildings insights
Analytics overviewUnified analytics portal — acquisition, attribution, call review, pay
Ads dataAds + dayparting — spend, leads, CPL, wasted-spend modeling
AttributionAttribution & ROI — source-tied cost, CAC, CPL, closed deals
Call qualityAI call intelligence — quality grades, rubrics, evidence
LeaderboardsLive leaderboards — team + individual from final AI scores
EarningsEarnings / pay — live agent pay, bonuses, transfers
Pay modelPay model — management working copy, bonus paths

04 — Résumé & Contact

Open to MarTech Lead, Marketing Ops, or Data-Actions roles.

Who you get

A builder who owns it and wires it for ROI

Not a data scientist, not a C-Suite generalist — a hands-on applications builder who also runs marketing-operations and the MarTech stack end to end. Comfortable from SMB tools (GHL, n8n) to enterprise data & marketing platforms (BigQuery, Databricks, Segment, Looker, Salesforce MC).

  • Owns the build, not the spec sheet
  • Picks the right tool per job (agnostic)
  • Measures success in ROI, not tickets
  • Uses AI as leverage, not as a plan
Résumé

Ready to send

Updated August 2026 · ATS-friendly · includes this portfolio URL and the full build log.

Download Résumé (PDF)

Tampa, FL · remote-ready · walt.rines@gmail.com · (904) 444-0398

You need this now.

Small or medium growth-stage firm — even a startup — you don't have to hire a team and a data swamp. One builder owns it, wires it, measures it, and makes it produce ROI.

See hard client numbers See a live demo