Tinuiti

Empowering one of the world’s largest Amazon agencies to scale from 35 to 3,500 clients — by rebuilding their data and automation backbone from the ground up.

-25%ACOS
DevOps
Data Engineering

About the Project

Tinuiti manages advertising across Amazon, Walmart, TikTok, Instacart, and Criteo - but their teams were stuck with fragmented reporting and heavy manual work.

Techesthete rebuilt their data and automation backbone from scratch, creating a multi-source ETL pipeline and a unified BI framework that pulls every marketplace into one real-time dashboard.This foundation now powers AI-driven budget allocation, audience automations, and rapid dayparting.

Challenge

Tinuiti’s growth was explosive scaling from 35 to 3,500+ clients - and their data systems couldn’t keep up.

They needed to process billions of rows across five marketplaces, update in near real-time, and automate optimizations inside two-minute dayparting windows.Any delay meant wasted spend.

We engineered a system that stayed accurate, fast, and stable - even when millions of dollars were being optimized every hour.

What we did

  • Built multi-source ETL pipelines for all major marketplaces
  • Created a unified BI warehouse for clean, consistent reporting
  • Integrated Amazon Marketing Cloud (AMC) for deeper audience insights
  • Developed automation engines for:

In short, we transformed fragmented reporting into a fully automated growth system.

A multi-source ETL pipeline that pulls data from every marketplace, cleans it, stores it in a central datalake, and feeds it into BI tools for real-time visibility and automated decision-making.
A custom automation panel where Tinuiti sets bidding rules, pacing logic, and dayparting schedules executed automatically across thousands of campaigns in real time.

Result

Tinuiti’s campaigns now optimize themselves fast, accurate, and built for scale. With a stable real-time data layer and automation engine, Tinuiti scaled from 35 to 3,500+ brands without slowing down.

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Automations deployed across marketplaces to replace manual daily tasks.

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Average improvement in operational efficiency after full data unification.

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Custom rules, bidding strategies, and optimization workflows running in real time.

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