Redshift-pipeline Scalable data pipeline to efficiently transfer batch data from AWS S3 buckets to Redshift data warehouse daily for analytical workloads.
Purpose
Automates the setup of an Amazon Redshift data warehouse and related infrastructure for analytics workloads
Tech Stack
- Python, boto3, AWS Redshift, S3, IAM roles
Key Components
- Infrastructure Provisioning
- Creates a Redshift cluster programmatically using boto3
- Handles IAM roles, security groups, and connectivity automatically
- Configuration Management
- Reads in parameters from a config file (clusters ids, DB names etc.)
- Allows easy management of different environments
- Data Ingestion
- Fetches data files stored in S3 bucket
- Sets up workflow to load data from S3 into Redshift
Outcomes
- One-click creation of production-ready Redshift environment
- Code for loading data pipeline from S3 for analysis
- Config file-based configuration for easy management