🎨 UI for the Free Data Engineering Zoomcamp Course provided by DataTalksClub
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Updated
Aug 2, 2024 - Python
🎨 UI for the Free Data Engineering Zoomcamp Course provided by DataTalksClub
An ETL data pipeline that extracts data from source and loads it to destination, automated using mage.ai
Using machine learning, feature engineering, and web scraping, I created an end-to-end laptop price prediction website by scraping data from a popular Iranian source. Empowering users with accurate pricing estimates and model comparisons
pokéFastApi: A backend API with Docker Compose integration for retrieving and searching Pokémon data using FastAPI and DuckDB.
Data Engineering Zoomcamp Final Project
Datatalks Club Free Data Engineering Zoomcamp Project
Using Mage.ai orchestration tool for ETL process
Data Engineering Swiss Air Quality
An ETL Pipeline built over GCP and orchestrated by Mage, which involves Extracting Data from GCS Bucket, building Dimensional Model, loading the Data into BigQuery and a Looker Dashboard for further analysis.
DataTalks Club - Machine Learning Operations Zoomcamp (Cohort 2024)
Real-time data pipeline for collecting, processing, and visualizing telemetry data from Assetto Corsa Competizione using Mage, Kafka, PostgreSQL, and Metabase for interactive insights into vehicle performance and driver statistics.
DE Zoomcamp 2024 Final Project 🧙
This project is a Data Engineering solution implemented to validate the data types of columns in PostgreSQL tables in a DataMart. It aims to validate whether the data stored in tables conforms to the expected data types, improving data integrity and reliability.
Automated script developed in Mage.ai to monitor and validate the status of AWS DMS CDC tasks, ensuring data integrity and synchronization. Sends notifications for any detected validation issues.
This script automates cleaning up a specific folder in an S3 bucket, deleting all objects within it. It uses secure AWS credentials and is built on the Mage.ai platform. Additionally, the roadmap includes approach handling and logging for greater robustness and monitoring.
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