Background
A logistics technology provider, required a reliable and automated ETL framework to process shipping and transactional data for its e-commerce partners. By leveraging AWS Glue jobs integrated with Amazon Aurora PostgreSQL, The company has modernized its data integration pipelines, reduced operational overhead, and accelerated delivery of analytics-ready data.
The Challenge
The company faced significant challenges with its legacy ETL approach:
- Manual scripts created inconsistencies in data quality.
- ETL pipelines lacked automation and monitoring, leading to delays.
- Scaling was difficult as shipping volumes fluctuated heavily.
- Analysts had limited access to trusted data in near real-time.
- High maintenance costs for infrastructure running data pipelines.
Our Solution
AWS Glue was selected to modernize the ETL framework.
The Result
Automation: Replaced manual ETL scripts with automated Glue jobs, reducing manual intervention by 75%.
