Project Overview
A comprehensive cloud-native analytics solution built on AWS infrastructure for processing and analyzing large-scale e-commerce datasets. The project demonstrates expertise in distributed computing and modern data engineering practices using AWS EMR for Spark-based processing, S3 for data storage, and Athena for interactive querying.
Key Features
- Scalable big data processing using AWS EMR and Spark
- Distributed data storage and management with S3
- Interactive querying and analysis with AWS Athena
- Automated data pipeline orchestration
- Real-time data ingestion and processing
- Cost-optimized cloud infrastructure
Technical Challenges
- Designing efficient data partitioning strategies
- Optimizing Spark jobs for large-scale data processing
- Managing costs while maintaining performance
- Ensuring data quality and consistency across pipeline stages