ETL/ELT Pipelines for E-Commerce
Unify Your E-Commerce Data With Modern ETL/ELT Pipelines
E-commerce businesses generate data everywhere, storefronts, marketplaces, ERPs, WMS, CRMs, ads, payments, and support systems. Without a proper ETL/ELT foundation, this data stays fragmented and underused. DBot Software designs and implements ETL/ELT pipelines that bring all your e-commerce data into one reliable, analytics-ready environment.
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/The Challenge/
Scattered Data Makes It Impossible to See the Full Picture
When your data is scattered across tools and spreadsheets, you cannot answer basic questions with confidence: Which campaigns drive profit? Which products cause returns? Where are we losing margin? How are B2B customers behaving vs. B2C? Manual exports and ad-hoc reports waste time and introduce errors, slowing down decisions and hiding growth opportunities.
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/Our Approach/
Imagine All Your E-Commerce Data Clean, Connected, and Queryable
Imagine being able to pull up a single dashboard that shows sales, margin, stock, returns, acquisition cost, and customer behavior, across all channels and systems. Modern ETL/ELT pipelines make this possible by automatically extracting data from your e-commerce stack, transforming it into a consistent model, and loading it into a central data warehouse ready for BI, reporting, and AI.
/Get Started/
Start Building ETL/ELT Pipelines for Your E-Commerce Today
Tell us which systems you use and what questions you want to answer. We will design a pipeline architecture, data model, and rollout plan tailored to your business.
/What’s at Stake/
Avoid Broken Reports, Manual Exports, and Blind Decisions
Without proper ETL/ELT, teams end up relying on manual exports, conflicting reports, and outdated numbers. We fix this by implementing automated, monitored pipelines with clear ownership and documentation.
Talk to a Data Engineering Expert/Proven Results/
Trusted by Data-Driven E-Commerce & Logistics Players Across 12+ Industries
Brands and platforms trust DBot because we deliver stable systems, honest communication, and solutions that work in production, not just in diagrams.
Real Impact From Solid Data Foundations in E-Commerce
Our clients have achieved major gains, 60% workload reductions, hundreds of thousands in yearly savings, and significant scalability improvements, by building proper data and automation foundations.
Griffwerk
Griffwerk: Redefining Efficiency and Cost Reduction in the Door Industry
Enhance operational efficiency and reduce costs.
Griffwerk partnered with DBot to integrate intelligent automation and software solutions into their processes. This collaboration focused on streamlining workflows through Robotic Process Automation (RPA) and Python-based automation, ensuring greater accuracy, speed, and cost-effectiveness in daily operations.
Heicko
Heicko e-ast GmbH: Streamlining CRM and ERP Systems with DBot Solutions
To enhance efficiency and automation, Heicko e-ast GmbH partnered with DBot to optimize their CRM and ERP systems.
By streamlining sales processes and automating key operations, DBot helped Heicko reduce manual workload, improve data accuracy, and enhance sales performance. Through intelligent automation, including RPA and API integrations, Heicko’s operations became more agile and scalable.
Häfele
Hafele's Digital Transformation: Intelligent Automation in the Furniture and Hardware Industry
DBot partnered with Häfele to drive a large-scale digital transformation through intelligent automation.
The collaboration spanned various projects, from custom software solutions to automation enhancements. One of the key achievements was the overhaul of Häfele's purchase order system using cutting-edge OCR (Optical Character Recognition) and RPA (Robotic Process Automation) technologies.
RIS Swiss Section Bangkok
RIS Swiss Section Bangkok: 60-Year Legacy in Digital Transformation for Education
60-Year Legacy in Digital Transformation for Education.
RIS Swiss Section Bangkok, a renowned German language school, embarked on a comprehensive digital transformation journey in collaboration with DBot. This marked a significant milestone in the institution's legacy, a commitment to embracing cutting-edge technology and enhancing the educational experience.
DD Bricks
DD Bricks: Revolutionizing E-Comm with a Customized ERP System
Revolutionizing E-Comm with a Customized ERP System.
DD Bricks, the global leader in e-commerce for pre-owned Lego components, embarked on a transformative journey to enhance its operations and solidify its position in the dynamic Lego marketplace. They partnered with DBot to create a tailored ERP system, a game-changing move in the world of Lego commerce.
Alpega
Alpega Group: Enhancing Transport Management Software Excellence
Enhancing Transport Management Software Excellence.
Alpega is a leading global logistics software company that offers end-to-end solutions that cover all transport needs, including transport management services (TMS) and freight exchanges. Dive into the challenges faced, innovative solutions implemented, and the transformative results achieved in the logistics software sector.
Frequently Asked Questions About ETL/ELT for E-Commerce
Here are the most important questions companies ask when they consider building or modernizing their e-commerce data pipelines.
Contact usWhat is an ETL/ELT pipeline for e-commerce?
It is the process of extracting data from your platforms, transforming it into a usable format, and loading it into a data warehouse or analytics system for reporting and advanced use cases.
Which e-commerce systems can you connect?
We can connect Medusa.js, Shopify, custom stores, ERPs, WMS, CRMs, marketing platforms, and payment providers via APIs or databases.
Do we need a data warehouse?
For serious scaling and unified reporting, yes, typically on platforms like BigQuery, Snowflake, Redshift, or Azure/AWS warehouses.
What about data quality and governance?
We design validation, monitoring, and lineage so you can trust your metrics and track how data flows through the system.
How long does it take to set up?
Initial pipelines and a first set of dashboards can often be delivered in 3-6 weeks, with additional sources added iteratively.