An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

A Python framework for data processing on GCP.

This repository is no longer maintained.

This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.

An airflow DAG transformation framework

Build a data warehouse from scratch, including full load, daily incremental load, design schema, SCD Type 1 and 2.

Analysing live tweets from twitter by generating a big data pipeline and scheduling it with Airflow (Using also Kafka for tweet ingestion, Cassandra for storing parsed tweets, and Spark for Analysis)

Фабрика DAG

This is an ELT data pipeline setup to track the activities of an e-commerce website based on orders, reviews, deliveries and shipment date. This project utilized technologies like Airflow, AWS RDS-Postgres, Python etc.

Apache Airflow demo project that setup 3 DAGs to explain how to pass parameters from a DAG to a triggered DAG.

Orchestrate data pipeline using airflow

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

The script automates the collection and insertion of KPIs related to transaction time and storage usage in a Data Warehouse, using Apache Airflow. It calculates the time elapsed since the last transaction and the percentage of storage usage, recording this data periodically in specific tables.

Datitos - TP2 with steroids

Data Engineering Projects on data modelling, data warehousing, data lake development, orchestration and analysis

Creation of the almost-real time data processing pipeline for the Pintrest posts.

A dashboard with sentiment scores of the tweets

Apache Airflow

Small project to play around Apache Airflow and ETL