tag
data-engineering
Ads Data Hub: How User-Provided Data Matching (UPDM) Actually Works
A technical reference for Ads Data Hub user-provided data matching. Hashing requirements, match table architecture, match rate calculation using is_updm_eligible, privacy thresholds, EEA consent, and practical tips for improving match rates - sourced from Google's official documentation.
Normalizing Affiliate Network Data: Awin, Rakuten, and TradeTracker
How to normalize affiliate network transaction data from Awin, Rakuten, TradeTracker, and similar networks into one reporting-ready dataset. The schema differences, status lifecycles, and validation checks that matter.
Building a Custom Amazon Seller Analytics Dashboard: What Generic BI Tools Miss
Why Amazon vendor and seller reporting workflows often need a custom dashboard. How email-based report ingestion, MySQL storage, and a Next.js reporting app solves what Seller Central and generic BI tools cannot.
Data Engineering & Automation: A Complete Guide for Growth Teams
Learn how data engineering and automation can transform your business operations. Expert insights from Ahmad Humayun on building scalable data solutions.
Building a Reliable DV360 and Ads Data Hub Pipeline with BigQuery, Cloud Run, and AWS SQS
Engineering lessons from building a reliable marketing data pipeline with DV360, Ads Data Hub, BigQuery, Cloud Run, Cloud Tasks, and AWS SQS.
DV360 Reporting and BigQuery: Understanding the Three Data Paths
How Display & Video 360 data actually reaches BigQuery. The BigQuery API Connector, Reporting Data Transfer, and Bid Manager API serve different purposes - here is what each gives you and how to use them together.
Freelance Data Engineer vs Data Engineering Agency: What Marketing Teams Should Know
An honest comparison of hiring a freelance data engineer versus a data engineering agency for pipeline, warehouse, and reporting projects. When each makes sense.
How to Connect Google Ads and Meta Ads Data to BigQuery
A practical guide to moving Google Ads, Meta Ads, GA4, LinkedIn Ads, and DV360 data into BigQuery for marketing analytics. What each connection looks like and what breaks.
What a Marketing Data Pipeline Project Costs
An honest breakdown of what marketing data pipeline projects cost, what drives the price up or down, and how to scope a project before asking for a quote.
Meta Ads to BigQuery: The Reporting System Behind the Pipeline
Meta advertising ingestion, BigQuery reporting layers, recovery, attribution-aware transformations, and campaign analysis within a production analytics product.