Adeola M.

I’m Adeola — a marketing data engineer focused on one thing: fixing ad tracking and attribution. I help 8-figure eCommerce brands and venture-backed startups rebuild their marketing data from the ground up — centralizing ad, CRM, and analytics data into one reliable, connected source of truth — as well as automating offline and server-side tracking based on first-party data to optimize every dollar you spend. 🚀 Why Clients Hire Me Most engineers don’t understand business and marketing. Most marketers don’t have the technical depth. I understand both. I started as a software engineer (Computer Science) before transitioning into marketing technology, where I’ve spent years building end-to-end tracking and data systems. That combination allows me to think creatively beyond platform limitations, solve complex problems others avoid. I’m also uniquely positioned because I’ve worked across a vast stack of tools — see the full list below. 💡 What I Do I’ve implemented the following systems across a wide range of industries and niches: • Ad Tracking & Attribution – implementing advanced first-party tracking systems that ensure accurate, deduplicated, and high event-match-quality conversions across every ad platform. From GTM (Web & Server via Stape) to fully custom server-side integrations that send events directly to the Meta Conversions API, Google Ads API, and LinkedIn API. • Customer Data Infrastructure – implementing CDPs like Segment, Rudderstack, and Customer.io to unify clickstream tracking and create a single source of truth — enabling you to activate customers based on the actions they take. • Data Warehousing & Pipelines – building automated data flows with Fivetran and Airbyte, syncing platforms like Stripe, Shopify, HubSpot, and Calendly into BigQuery or Snowflake for centralized analytics. • Data Modeling – using SQL, DBT, and Dataform to standardize and transform raw data from multiple marketing and sales platforms inside the data warehouse. I design modular models that answer complex business questions around ROAS, CAC, retention, churn, attribution, and customer behavior. • Reverse ETL & Automation – syncing first-party, highly targeted data from your warehouse back into Google Ads, Meta Ads, and other platforms for advanced audience targeting and optimization — as well as pushing enriched data into HubSpot, Customer.io, and similar tools to activate customers with personalized messaging. I leverage Hightouch, Airbyte, and Fivetran to do so. • Serverless Data Architecture – extending and automating systems using Cloudflare Workers, Queues, Google Cloud Run, and event-driven infrastructure for high scalability and reliability. 🧰 Full List of Tools & Tech I’ve Worked With 🧠 CDPs & Tracking Segment (Certified Solutions Architect) · Rudderstack · Customer.io · Google Tag Manager (Web & Server via Stape) · Meta Conversions API · Google Ads API · LinkedIn API · Hyros · Voluum · Mixpanel · Amplitude 💼 CRM, Marketing & Sales Platforms HubSpot · Salesforce · Keap · Pipedrive · Klaviyo · ActiveCampaign · Stripe · Shopify · Typeform · BigCommerce · GoHighLevel (I’ve also worked directly with the underlying APIs for each.) ⚙️ Automation & Workflow Orchestration Make.com · Zapier · n8n 🏗️ Data Warehousing BigQuery · Snowflake 🔄 ETL, Reverse ETL & Data Modeling Fivetran · Airbyte · Hightouch · HevoData · DBT · Dataform 📊 Analytics & Visualization Metabase · Looker Studio · Tableau · Superset · GA4 🧩 Serverless Architecture & Engineering Infrastructure Cloudflare Workers · Cloudflare Queues · Cloudflare Workflows · Cloudflare R2 · Durable Objects · Google Cloud Run · Cloud Functions · Google Cloud Pub/Sub · Eventarc · Event-Driven Infrastructure · Node.js Servers · Custom API Integrations · Webhooks 💻 Software Engineering Stack JavaScript (React, Next.js, Node.js) · Python (Django, Pandas, Streamlit) · Golang · SQL