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Fun with AI
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KodeKloud-Engineer-2.0
Solutions for the KodeKloud Engineer 2.0 tasks.
GCP-DE-project-uber-etl-pipeline
Technologies used: GCS, Compute Engine, Mage, BigQuery, Looker, Python
gcp-data-engineering-etl-with-composer-dataflow
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.
gcp-de-project-connect-four-with-python-dataflow
Connect Four Data Engineering Project: leveraging GCS for scalable and durable storage, Dataflow for data extraction and transformation, BigQuery as the data repository, Slack Integration for real-time sharing, Looker for insightful reports and visualizations, and Email Scheduler for automated report delivery.
gcp-de-project-weather-forecast-sms-with-airflow
This project was born out of the need to know the weather forecast for Paris/Vilnius while attending the KubeCon Europe conference. Fetches next-day forecast for Paris and Vilnius using a weather API, securely stores data in GCS bucket, and sends personalized SMS updates via Twilio. Powered by GCP and automated with Composer/Airflow
gcp-de-project-streaming-pubsub-beam-dataflow
This project demonstrates an end-to-end solution for processing and analyzing real-time conversations data from a JSON file using GCP services and infrastructure automation, showcasing data storage, streaming, processing, and analysis at scale.