It's like Celery, but with Serverless Google Cloud products.

A Dash application visualizing humanity's journey into space with data from over 7,000 launches and key milestones, from Sputnik to Mars rovers. Built on scalable data pipelines and deployed on GCP, the app offers real-time updates and interactive insights into space exploration history.

A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315

🏭 Schedule a data pipeline in Google Cloud using cloud function, BigQuery, cloud storage, cloud scheduler, stack trace, cloud build, and pub/sub

Parquet files will be obtained regularly from a public GCS bucket. They will be written to BQ table

This script will check for changes in your Google Tag Manager container and post the changes to Slack and Microsoft Teams.

Pulsar aims to provide a reusable framework skeleton for scalable Cloud Function Apps. It allows you to quickly create GCP Cloud Functions with alerting and monitoring abilities in a few steps.

Like localstack but Google Cloud flavor. Emulate GCP services to use on development environments.

The Smart_Living_Server backend handles device management and user data processing for the Smart Living App. It leverages Firebase Cloud Functions to update device statuses, process user requests and schedule tasks such as energy consumption updates and data cleanup.

Stooqifier is an automatic stock price Slack notification with chart image script that with pandas-datareader call Stooq.com API

A GCP-based ETL pipeline that fetches football data from Football-Data.org, stores raw JSON in Cloud Storage, transforms it, loads analytics tables into BigQuery, and powers a Looker Studio dashboard via scheduled Cloud Run jobs.

Serverless ETL: Airports + Weather → MySQL analytics (GCP demo).

Projeto que serve de exemplo de como hospedar seu Crawler em uma Cloud Run e deixar o processo automático com o Cloud Scheduler.

Production-oriented GitHub access governance sync to BigQuery with current-state views, audit history, and governance reporting.

Implement a project to read a image, classify the image, rotate the image and extract the required fields from the image and display in a form of json.

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.

A template for building governed and reproducible machine learning projects, enabling transparent tracking of data, models, and deployments across various platforms.

An ETL pipeline for the OSRS Trading App that extracts, transforms, and loads trading data and news from RuneScape Wiki APIs and RSS feeds into structured Parquet files stored in Google Cloud Storage. Deployed on Cloud Run and orchestrated via Cloud Scheduler.