SpotiFlow Data Stream

A Modern Spotify Data Engineering Project

Overview

SpotiFlow Data Stream is a serverless ETL (Extract, Transform, Load) pipeline that processes Spotify data using AWS cloud services. The project automatically collects, transforms, and analyzes Spotify track, artist, and album data, making it available for analytics through Amazon Athena and extendable to Snowflake for advanced analytics capabilities.

Architecture Components

1. Data Extraction Layer

   • Spotify API Integration using Python
   • AWS Lambda function for data extraction
   • CloudWatch Events for scheduling (daily trigger)

2. Data Storage Layer

   • S3 buckets for both raw and transformed data
   • Organized folder structure for different data types
     • raw_data/: Initial data landing
     • transformed_data/: Processed and cleaned data

3. Data Processing Layer

   • AWS Lambda for data transformation
   • S3 event triggers for automated processing
   • Data quality checks and schema validation

4. Analytics Layer

   • AWS Glue Data Catalog for schema management
   • Amazon Athena for SQL queries and analysis
   • Future extension: Snowflake integration

Architecture Diagram

AWS Services Used

• AWS Lambda: Serverless compute for data extraction and transformation
• Amazon S3: Object storage for data lake implementation
• AWS CloudWatch: Scheduling and monitoring
• AWS Glue: Data catalog and schema management
• Amazon Athena: SQL query engine for data analysis
• AWS IAM: Security and access management

Project Features

• Automated data extraction from Spotify API
• Serverless architecture for scalability
• Data quality validation
• Automated schema inference
• SQL querying capabilities
• Cost-effective data storage
• Extensible design for future enhancements

Future Extensions

1. Snowflake Integration

   • Direct data loading from S3 using Snowpipe
   • Advanced data warehousing capabilities
   • Enhanced analytics features

2. Planned Enhancements

   • Real-time data processing
   • Advanced monitoring and alerting
   • Data quality framework
   • BI tool integration

Project Setup

Prerequisites

1. AWS Account with necessary permissions
2. Spotify Developer Account
3. Python 3.8 or higher
4. AWS CLI configured locally

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.