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Objective:
AWS Data Engineering
Create a flexible, scalable data solution leveraging AWS services.
Process:
- Architected a solution utilizing AWS Glue for ETL processing and Amazon Redshift as the data warehouse.
- Incorporated Amazon Athena for efficient querying and advanced analytics.
Impact
- Boosted query performance by 25% and ensured scalability for growing data volumes.
- Developed cost-efficient ETL pipelines using AWS-native tools.
- Enhanced reporting accuracy and speed, empowering business intelligence teams with reliable insights.
