To provide an introduction and demos in Google Cloud Platform Airflow Composer

This is a simple action that helps you to fetch your Apache Airflow DAGs to Google Cloud Composer

A repo containing auto-triggered Airflow ETL activities for datasets located on GCP storage that flattens and creates analytical views on Big Query

Examples on how to Trigger a Google Cloud Composer DAG

Sample Airflow ML Pipelines

A tool to synchronize workflows (DAGs) between Codebase, Cloud Storage and Airflow metadata.

DBT execution from Cloud Composer. BigQuery is used for main DWH and Compute Engine is built for dbt execution.

Building a fully automated data Pipeline with Google Cloud Services

Airflow Pipline to extract data from twitter API then transform it and finally load it to google cloud storage bucket.

Cloud Composer: Copying BigQuery tables across different locations.

Practice GCP Cloud composer

This repository contains source code based on a guide on how to use Cloud Build and Cloud Composer to create a CI/CD pipeline for building, testing, and deploying a data processing workflow

In this project, I built an end-to-end data pipeline that processes and analyzes daily occupancy and capacity data from Toronto's shelter and overnight service programs.

The goal of this article is showing a real world use case for ELT batch pipeline, with Cloud Storage, BigQuery, Apache Airflow and Cloud Composer : The Extract part is managed in Cloud Storage The Load part is managed from Cloud Storage to BigQuery The Transform part is managed by a BigQuery SQL query Everything is orchestrated by Airflow

Getting started with Apache Airflow on Cloud Composer

QA dashboard for DV360 advertisers

A tool to create Airflow RBAC roles with dag-level permissions from cli.

I got Google Cloud Certified. I have what it takes to leverage Google Cloud technology. Here my certification: https://www.credential.net/ee1bd2d6-fdb0-4037-8a8d-9afae3d79c86.

This project leverages GCS, Composer, Dataflow, BigQuery, and Looker on Google Cloud Platform (GCP) to build a robust data engineering solution for processing, storing, and reporting daily transaction data in the online food delivery industry.