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LogisticsData EngineeringData ArchitectureAnalytics

Unified data platform for a global logistics company

Client: Global Logistics ProviderDuration: 8 monthsTeam: 6 engineers

30+

Data silos consolidated

200+

Certified metrics

85%

Reduction in reporting time

12

Countries connected

The challenge

A logistics company with operations in 12 countries had data scattered across 30+ siloed systems. Reporting took weeks. No one trusted the numbers. Leadership decisions were based on gut feelings, not data.

Our solution

We built a modern data platform on Snowflake with dbt for transformations, Airflow for orchestration, and a real-time ingestion layer using Kafka. We modeled 15 business domains, built 200+ certified metrics, and deployed self-service dashboards that operations teams actually use.

Key highlights

1

Data modeling

15 business domains unified into single schema

2

Real-time ingestion

Kafka-based streaming from 30+ source systems

3

Self-service analytics

Looker dashboards used daily by ops teams

4

Automated orchestration

Airflow manages 200+ data pipelines

Tech stack

SnowflakedbtApache AirflowKafkaLookerTerraformGCP
For the first time in our company's history, every regional director is looking at the same numbers.

Chief Data Officer

Global Logistics Provider

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