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This repository is no longer maintained.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

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)

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.

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

Фабрика DAG

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.

1T Data "Data architect (DevOps)". Задание 2024-08-21 6.8

This project focuses on implementing an ETL pipeline using Apache Airflow to efficiently extract data from Reddit, transform it as needed, and load it into an AWS S3 bucket. The use of Airflow allows for robust orchestration of the data workflow, ensuring that each step of the ETL process is executed in a reliable and repeatable manner.

Datitos - TP2 with steroids

Airflow powered ETL pipeline for moving Near-Earth-Object data from NASA to Google Cloud

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