DbCls is a powerful terminal database client that supports various databases
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Updated
Jul 30, 2025 - Python
DbCls is a powerful terminal database client that supports various databases
Getting PostgresQL datasets, analyze it, get all information. Using ETL, read PostgresQL data, transform it with Python to MongoDB proper formatting, create MongoDB and populate it with the new data.
Relational Database using PostgreSQL commands for DML and DDL commands
Python-based batch ETL project that migrates and transforms order data from a PostgreSQL source to a data warehouse schema (dim_orders).
Proceso de ETL: proceso de ingesta, transformación y carga de data al DataWarehouse. Todo esto es una guía personal sobre los pasos que realicé para llevar adelante el proyecto solicitado, igual cualquier sugerencia/error es bien recibida para seguir aprendiendo más y mejorar. Cualquier contirbución es recibida!!
work with DBs
CotizAPI is a financial tracking API designed to monitor the prices of key assets, including gold, silver, Bitcoin, wheat, and oil. It is built with Python and SQLite, ensuring lightweight and efficient data management. The API is deployed on Telegram and Vercel.
Django website – library and wiki to learn about Universe, stars and phenomena. Simply, modular, informative.
This project involves analyzing cryptocurrency data, including members' activities, historical prices, and transaction details. To start, I set up a database and created a user called cryptoverse_admin with the necessary attributes, including CREATEDB and CREATEROLE.
Challenge - Create an API using Django (Python). This API must: register an user, getting the login, password and birthday date. All the datas must be downloaded in XLSX and sent as .zip
Welcome to Logic Link, the next-generation Discord bot designed to revolutionize your Discord community management and engagement. Logic Link was born out of the need to provide Discord communities with a versatile, customizable, and feature-rich bot that addresses the challenges faced by administrators and users alike.
A Dockerized ETL pipeline that extracts data from MySQL (CSV-based), transforms it using Python, and loads it into a PostgreSQL Data Warehouse.
This project implements an ETL (Extract, Transform, Load) pipeline using Apache Airflow to fetch data from NASA's Astronomy Picture of the Day (APOD) API, transform it, and load it into a PostgreSQL database. The pipeline is orchestrated using Airflow, running in a Dockerized environment set up with Astronomer.
Orchestrated pipeline and tasks using DAG in airflow
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