Service

Automated ETL pipelines for D2C brands

Every marketplace, quick-commerce partner and ad platform gives you data in a different format, on a different portal, at a different time. We build pipelines that collect all of it automatically, clean it, and load it into one warehouse your whole team can trust.

Talk to us about automated etl pipelines

The problem

Someone on your team logs in to 10+ portals every morning just to download reports.
Each channel names SKUs, locations and dates differently, so nothing joins cleanly.
Reports break silently when a portal changes its export format.
Historical data is scattered across laptops and email attachments, so trend analysis is impossible.

What you get

Production pipelines running on a schedule, with alerts on failure
A documented data model (sales, inventory, POs, ads, returns)
SKU, channel and location master tables
Monitoring and a runbook your team can understand

What we build

Multi-source ingestion

Marketplace seller portals, quick-commerce partner dashboards, ad consoles, Shopify, your ERP or OMS, Google Sheets and email reports, pulled via API where available and automated downloads where not.

SKU & location mapping

A master mapping layer that ties every channel's ASIN, FSN, item ID and warehouse code back to your own SKU and city list.

Scheduled & incremental loads

Daily, hourly or near-real-time refreshes that only fetch what changed, so pipelines stay fast and cheap.

Data quality checks

Row counts, duplicate detection, missing-day alerts and schema-change detection, so you hear about a problem before your dashboard is wrong.

Cloud data warehouse

Clean, modelled tables in BigQuery, Postgres or the warehouse you already use, ready for dashboards, analysts and AI tools.

Backfills

We load your historical data too, so you get year-on-year comparisons from day one.

Frequently used with: Shopify

How it works

1
Discover
We map your channels, data sources and the manual work eating your team's time.
2
Connect
We build reliable pipelines that bring all your data into one clean, trusted source.
3
Automate
We replace repetitive tasks with scheduled workflows, alerts and reports.
4
Improve
We monitor, maintain and extend the system as your brand and channels grow.

Frequently asked questions

What is an ETL pipeline for an ecommerce brand?

ETL stands for Extract, Transform, Load. For a D2C brand it means automatically pulling data from every sales channel and ad platform (extract), standardising SKUs, dates and metrics (transform), and storing it in one database (load) so reporting and analysis happen from a single source of truth.

Which data sources can you connect?

Marketplaces like Amazon, Flipkart, Myntra and Nykaa; quick-commerce partners like Blinkit, Zepto and Swiggy Instamart; Shopify and other storefronts; Amazon and Flipkart ads; ERPs and OMS tools; and spreadsheets or emailed reports. If your team can download it, we can usually automate it.

What if a platform doesn't have an API?

Many seller and partner portals don't offer a public API for every report. In those cases we build reliable automated downloads with monitoring, so a format or login change is caught and fixed quickly.

Which data warehouse do you use?

We commonly use Google BigQuery because it is inexpensive at D2C data volumes and works well with Looker Studio and Sheets, but we also build on Postgres, Snowflake or whatever you already have.

How long does it take to set up?

A first set of core pipelines (for example, sales and inventory for your top channels) is typically live within a few weeks, with more sources added in phases.

Related guides

Reporting

How to automate marketplace reporting for Amazon, Flipkart and quick commerce

A step-by-step guide for D2C brands to automate multichannel marketplace reporting: collecting reports, mapping SKUs, building one data model and delivering reports automatically.

27 September 2026 · 3 min read Data engineering

ETL for D2C brands: building a single source of truth for sales, inventory and ads

What ETL means for an ecommerce brand, what a D2C data warehouse should contain, and a practical roadmap for building one across marketplaces, quick commerce and your website.

27 September 2026 · 2 min read