Background
A gaming data-driven organization, needed a reliable and scalable ETL solution to ingest, transform, and load large volumes of customer and transaction data into Amazon Redshift. By implementing AWS Glue jobs integrated with Redshift, the company automated data pipelines, reduced operational overhead, and enabled faster business insights at scale.
The Challenge
The data company faced several challenges with its existing ETL processes:
- Manual data transformation scripts led to inconsistent data quality.
- High operational overhead in maintaining on-premises ETL jobs.
- Difficulty scaling pipelines as data volumes grew.
- Limited visibility into job performance and error handling.
- Slow data availability in Redshift impacted downstream reporting and analytics.
Our Solution
AWS Glue was selected to modernize the ETL framework.
The Result
Automation: Reduced manual ETL maintenance by 70%, freeing up engineering resources.
