Data Engineering for Operational Excellence at Scale
Architecting data infrastructure to optimize shipment tracking and ETAs
The Challenge
Our Approach
We engineered a robust data backbone that unified shipment, customer, and operations data:
- Designed event-driven architecture using Apache Kafka and PostgreSQL CDC
- Created scalable ETL with dbt + Snowflake for normalized, query-optimized models
- Implemented SLA and delay prediction metrics via Looker dashboards
- Built a data catalog with metadata tagging to support internal stakeholders
Data governance was implemented using a lightweight DataOps layer with version control and CI/CD.
Stats
The Outcome
- 90% improvement in SLA breach detection accuracy
- Delivered operational dashboards with <5 sec query latency
- Reduced reporting downtime by 95%
- Enabled predictive insights to proactively manage carrier delays
Case Study
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