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E-Commerce Data Analysis Pipeline

Big-data analysis pipeline leveraging AWS services for scalable data processing and exploratory insights on e-commerce data.

Completed

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.

Technologies Used

AWS EMR AWS EC2 AWS S3 Apache Spark AWS Athena Python SQL

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

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