Christopher Blakey Full Stack Engineer
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Product case study / Logistics / Operational data

project44Supply chain decision intelligence

Track shipments and use live transportation data to identify delays and manage exceptions.

Logistics dataCarrier integrationsOperations

Relevant technical skills

  • SQL
  • API integration
  • Data modeling
  • ETL pipelines
  • Data visualization
  • Event processing
  • Data validation
  • Automated testing

These skills describe a proposed engineering approach. They are not a verified list of the company’s internal technologies.

01 / The problem

Context

Shipment information comes from multiple carriers and systems, often at different times. project44 presents visibility and decision tools for supply chain operations.

02 / The experience

A connected product workflow

Its platform connects transportation and in-transit information with operational workflows. This case examines how a dashboard can help a team distinguish a routine update from an exception.

  1. 01Connect carrier
  2. 02Receive milestone
  3. 03Update shipment
  4. 04Review exception

03 / Technical perspective

Engineering approach

A proposed event pipeline should normalize timestamps, preserve source identifiers, and handle out-of-order updates. The interface should distinguish missing information from a confirmed delay.

This section outlines a proposed approach, rather than the company’s verified internal implementation.

04 / Reliability

Testing priorities

Test stale positions, contradictory carrier updates, missing milestones, and time zone changes. Preserve event history so an operator can explain why a shipment status changed.

05 / Source & attribution

Explore the product

This independent study is based on the company’s public website. The gallery contains imagery sourced from the company’s official website and public product resources. Images belong to their respective owners. This study does not claim a personal role in building the product.

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