This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. The pipeline leverages a combination of tools and services including Apache Airflow, Celery, PostgreSQL, Amazon S3, AWS Glue, Amazon Athena, and Amazon Redshift.
An end-to-end modern data engineering project, including deployment of an ETL pipeline on AWS.
An automated end-to-end data pipeline using Apache Airflow, Spark, and MinIO for processing NYC Taxi datasets. Features containerized infrastructure (Docker), distributed transformations, and data quality assurance with Great Expectations.
📊 Analyze sales data and forecast future revenue using Python. Gain insights into performance metrics and optimize your business strategies effectively.
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