Turn Raw Data Into Real Insight
Enterprise-Ready ETL Pipeline Solutions
Marketers, analysts, and execs all need the same thing: clean, trusted data, fast. Napkyn’s ETL pipelines pull your sales, ad, and customer info into one place automatically, so teams spend less time fixing data and more time acting on it. From first setup to ongoing monitoring, we keep your data flowing and your decisions on point.
What Makes Our ETL Approach Different
Data Pipeline Health Check
We assess the structure, reliability, and completeness of your current data pipelines. This includes reviewing integrations with platforms like GA4, Shopify, and Google Ads to ensure your data is flowing accurately and consistently.
Marketing Data Use Case Review
We analyze how your data is being used across marketing and analytics platforms. From tracking campaign performance to feeding reports, we help you align your ETL approach with key goals across teams.
Scalable, Privacy-Conscious Infrastructure
Our team helps you build pipelines that can grow with your business. We focus on solutions that support data privacy and long-term sustainability, so you’re ready for new tools, platforms, and regulations.
What Our Clients Say
“Linking our in-store and call-center sales to Google Ads used to be a black box. Napkyn unified our Snowflake data with Google Analytics in BigQuery and pushed those offline conversions straight into Smart Bidding. Now we target by line of business and channel, and bids adjust in real time to each customer’s true value.”
Director of Digital Media, U.S. Telecom Provider
“We asked Napkyn to connect our Shopify, Klaviyo, and Google Ads data so we could see lifetime value by channel. Their team built an automated pipeline into BigQuery, layered in product-level margins, and surfaced it all in Looker Studio. Now merchandising, finance, and marketing make decisions from the same dashboard and our paid campaigns optimize to real profit instead of top-line revenue.”
VP of Ecommerce, Global Apparel Brand
Why Choose Napkyn?
We help modern teams take control of their data with scalable, governed, cloud-native ETL solutions built for real-time insight and measurable impact.
Built on the Right Tools
Our solutions leverage platforms like BigQuery, dbt, Fivetran, and Looker Studio to automate and standardize data flows. We reduce your team’s reliance on spreadsheets and manual processes by creating reliable, well-structured pipelines that deliver trusted data when it’s needed most.
Focused on Business Value
We design ETL pipelines that support your real-world goals, whether you’re tying media spend to revenue or enabling Smart Bidding with offline conversions. Every pipeline is aligned with your reporting, analytics, and activation needs to help you move from fragmented data to confident decisions.
Ready for Scale and Compliance
Our frameworks are built to grow with your business. We embed best practices for monitoring, documentation, and data quality so your team can maintain oversight, meet compliance standards, and stay ahead of complexity without slowing down.
Your Questions Answered
Explore our most common questions about ETL pipelines and how Napkyn helps teams unlock clean, trusted data for reporting and activation.
Can Napkyn connect my storefront, ad platforms, and CRM in one pipeline?
Yes. We use tools like Fivetran and custom Cloud Functions to pull data from Shopify, Google Ads, Meta, and CRMs, then land it in BigQuery for unified analysis.
Will I need to replace my current data warehouse?
Not unless you want to. We can build pipelines that feed BigQuery, Snowflake, or your existing warehouse so you keep the investments you already made.
How long does it take to see usable data?
A core pipeline is often live in four to six weeks. You’ll start testing reports while we fine-tune transformations and add monitoring.
What kind of monitoring is included?
Every pipeline ships with data quality checks, run-time alerts, and a Looker Studio dashboard that tracks load times and error rates.
Does Napkyn handle data privacy and compliance?
We apply field-level controls, detailed logging, and region-based storage options to help you meet GDPR, CCPA, and other policies.
What happens if my data sources change?
We design pipelines with modular connectors and use dbt for transformations. When a source API changes, updates are made in one place without breaking reports.
Ready to Turn Disconnected Data into Real-Time Insight?
Whether you need a health check on your pipelines, a ground-up build in BigQuery, or guidance on scaling what you already use, Napkyn’s team is here to help you move from scattered sources to trusted dashboards fast.