Follow along with materials in the book "Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses and data lakes" (Lipp, 2023)

project developed during the course Data Warehouses @ Master in Data Science and Engineering, Faculty of Engineering, University of Porto

Automated Data Ingestion Project

Personal Projects submitted for the Data Engineer Nanodegree from Udacity.

A blockchain enabled OLAP Data Warehouse. It is the implementation / application part of my thesis as an undergraduate Computer Science student of Athens University of Economics and Business

Data Structures for C and C++

Data Engineering Lab, powered by TITAN and ReGeneration

Production-ready ELT pipelines using Airflow

Multiwoven Documentation

Cloud Data Warehouse of Sparkify Data using Redshift

Contains all files from my data science projects

The Common Education Data Standards (CEDS) Data Warehouse Parquet (DW Parquet) standard is designed for data engineering and data science needs in the cloud. The DW Parquet Models mirror the SQL-based CEDS Data Warehouse. Parquet files are designed for rapid and distributed reporting across multiple technology stacks, data processing and BI tool…

This is a repository to hold the files and notebooks produced throughout my Udacity's Nanodegree Data Engineering program.

Students will build an ETL pipeline that extracts data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team.

Udacity Data Engineering Nanodegree

Modeled for longitudinal storage and reporting of P-20W data, the Common Education Data Standards (CEDS) Data Warehouse implements star schema data warehouse normalization techniques for improved query performance.

A library for data warehouse and data integration pattern and architecture documentation.

Projects done in the Data Engineer Nanodegree Program by Udacity.com

Udacity Data Engineering Nanodegree Program