Data Engineering built for Supply Chain companies
What is Data Engineering?
We turn scattered data into pipelines your business can actually trust and query. For Supply Chain companies, this means navigating Customs and trade compliance regulations, ISO 28000 supply chain security while shipping fast.
Who needs Data Engineering for Supply Chain?
- Limited end-to-end shipment visibility
- Disconnected systems across suppliers and partners
- Demand forecasting accuracy under volatile markets
- Data scattered across disconnected systems
- Reports that disagree depending on who pulls them
Best Data Engineering company
Supply chain visibility software is only useful if it reflects what's actually happening, not yesterday's data.
We've helped Supply Chain teams across turn Data Engineering from a bottleneck into a competitive advantage.
See how GarudLabs can deliver Data Engineering for your team
Book a free 30-minute discovery callWhy Supply Chain teams in outgrow their current Data Engineering setup
- Limited end-to-end shipment visibility
- Disconnected systems across suppliers and partners
- Demand forecasting accuracy under volatile markets
- Customs and trade compliance complexity
- Manual processes slowing exception handling
From discovery to deployment: our Data Engineering process for Supply Chain
Data warehouse architecture (Snowflake, BigQuery)
ETL/ELT pipeline development
Data quality monitoring and alerting
BI dashboard integration
Data governance and access controls
Core Technology Stack
SnowflakeBigQueryAirflowdbtPythonKafkaAWS Glue
Timeline, investment & compliance
Typical timeline
8-16 weeks
Typical investment
$25,000 - $140,000
Data Engineering engagements in this combination typically need to account for:
- Customs and trade compliance regulations
- ISO 28000 supply chain security
- GDPR (EU operations)
- Country-specific import/export laws
Proven Results
"We helped a supply chain platform improve on-time delivery visibility by 31% with real-time tracking integration."
Read the full case studySee how GarudLabs can deliver Data Engineering for your team
Get a free project cost estimateFrequently Asked Questions
Most Data Engineering engagements take 8-16 weeks, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Data Engineering projects with us typically range from $25,000 - $140,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For data engineering, we typically work with Snowflake, BigQuery, Airflow, dbt, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical data engineering engagement includes data warehouse architecture (snowflake, bigquery), along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for data engineering because of data scattered across disconnected systems, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple supply chain projects addressing challenges like limited end-to-end shipment visibility. We helped a supply chain platform improve on-time delivery visibility by 31% with real-time tracking integration.
For supply chain clients, we pay close attention to Customs and trade compliance regulations, ISO 28000 supply chain security, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for supply chain clients include limited end-to-end shipment visibility and disconnected systems across suppliers and partners. We tailor our discovery process to surface the specific version of these problems your business faces.