End-To-End Data Engineering Project. Made to learn some common data engineering practices.
- Updated
Mar 15, 2026 - Python
End-To-End Data Engineering Project. Made to learn some common data engineering practices.
A reusable solution to kill billing on any projects associated with a given budget and budget alert. If your budget is exceeded, the resulting budget alert will cause all projects associated with that alert to be detached from the billing account. This immediately prevents all paid resources in the project from being consumed.
Build a data pipeline on Google Cloud using an event-driven architecture, leveraging GCS, Cloud Run functions, and BigQuery. Explore both VM and Composer options for Airflow management, and utilize Logging & Monitoring for pipeline health. Discover how SQL-based BigQuery ML can be used for initial ML implementation in specific scenarios.
A Google Cloud ELT pipeline project with dbt, Cloud Run, Composer, BigQuery, and Dataplex. Includes event-driven automation, data quality checks, and complete setup guidance.
Serverless loader: copy remote files directly into Google Cloud Storage by a fully automated workflow using Terraform and Cloud Run Functions.
A serverless, event-driven data engineering pipeline on Google Cloud (Medallion Architecture) for real-time Transport for NSW transit analytics.
PySpark-based ETL pipeline leveraging Dataproc, Cloud Storage, Cloud Run Functions and BigQuery, to automate Spotify "New Releases" data processing and visualization in Looker Studio.
Develop and bundle your Cloud Run functions with ease
Cloud Run functionsとActiveReports for .NETでつくる帳票生成API
A fully automated ETL pipeline that fetches and stores real-time traffic and weather data in BigQuery, with a live Looker dashboard for visualization.
This repo hosts a data-engineering pipeline that utilizes google cloud-storage, google pub/sub, google cloud function, airflow, ngrok, open-ai to facilitate a trigger based ELT pipeline. It also manages some vectorized data and geometric data following standard data retrieval and storage practices.
Los Mirlos Storytelling, a magical serverless backend built with Google Cloud Functions and powered by Gemini (Google's LLM)
Go microservices and serverless functions for GCP. Deploys to Cloud Run and Cloud Functions. Includes Makefile for automation. IAM setup and curl test included.
Official LINE account for notifying garbage collection days
Serverless ETL pipeline on GCP using Cloud Run, Pub/Sub, BigQuery & Looker for real-time NYC Taxi ML insights.
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