Data Pipeline Using Python and Apache Airflow
Scalable CSV-to-JSON Data Pipeline Orchestrated with Apache Airflow
PROBLEM
STATEMENT
The client needed a data pipeline to process and integrate data from CSV files. The data had to be ingested and processed before being stored into a JSON file. They wanted a scalable solution that should work for larger datasets and needed complete documentation of the project.
SOLUTION
I used Python and Apache Airflow for implementing the data pipeline and started by processing and transforming the data according to the client’s requirements. Then, I created an Apache Airflow DAG for orchestrating the data processing tasks and to store the final results in the JSON format. It included thorough error handling and retry mechanisms to ensure a hassle-free experience.
Input
A CSV file to read the data
Output
A complete pipeline for ingesting, processing, and transforming the data according to the specified criteria
Tools &
Technologies
Python
