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🎨 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
pokéFastApi: A backend API with Docker Compose integration for retrieving and searching Pokémon data using FastAPI and DuckDB.
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
Data Engineering Swiss Air Quality
Datatalks Club Free Data Engineering Zoomcamp Project
DataTalks Club - Machine Learning Operations Zoomcamp (Cohort 2024)
Data Engineering Zoomcamp Final Project
A covid 19 Data engieneering pipeline
Using Mage.ai orchestration tool for ETL process
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.
The AWS DMS Task Restart and Status Checker is a Python script designed to restart various AWS Database Migration Service (DMS) tasks and check their status. This script leverages AWS SDK (Boto3) and Mage.ai for DMS task integration and management, ensuring efficient and reliable task handling.
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.
Project LLMs
Data engineering project for the DEZoomcamp 2024
🚕 Performing Data Analytics on NYC Taxi data using GCP and MageAI
Code examples of Luigi, Prefect, Kedro, Dagster, and MageAI
DE Zoomcamp 2024 Final Project 🧙
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.
Contains a Python script designed to validate data replication tasks in AWS Database Migration Service (DMS). The script checks for potential issues such as missing or duplicate data in the tables being replicated.
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.