This repo provides a step-by-step approach to building a modern data warehouse using PostgreSQL. It covers the ETL (Extract, Transform, Load) process, data modeling, exploratory data analysis (EDA), and advanced data analysis techniques.

📚 An End-to-End Advanced SQL Project covering Data Warehousing, ETL Pipeline (Bronze → Silver → Gold), Star Schema Modeling, EDA, and Advanced SQL Analytics. Built using PostgreSQL, this project simulates a real-world Data Engineering + Data Analytics workflow using raw ERP & CRM data to generate production-ready customer and product insights.

I'm always learning. And I love learning through practice. So, I've created this repo to share with everybody what I learn.

This repo is for data analytics and visualization of dashboards containing projects focused on turning raw data into meaningful insights.

SQL-based EV battery health and charging abuse analytics system

Analyzing and visualizing employee data-set uisng sql and Tableau

SQL analysis of a DVD rental database to identify the most profitable film categories for inventory expansion.

Cloud-based PostgreSQL database for GIBBS SOLUTIONS, an online store specializing in computers and gadgets.

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights industry best practices in data engineering and analytics.

Designing and building a modern data warehouse using PostgreSQL, including ETL pipelines, data modeling, and analytics.

Construcción de un Data Warehouse completo en PostgreSQL

AI-powered automotive battery quality monitoring and predictive maintenance platform built on Snowflake - Accenture Snowflake Hackathon 2025

This module covers techniques to optimize query execution, such as creating indexes, and query planning, that improve performance. It will also introduce tools and techniques for terminating inefficient queries that are consuming our database resources.

Colección de scripts de SQL (PostgreSQL) donde se aplican una serie de técnicas de Análisis de Datos: cambios a lo largo del tiempo, análisis acumulativos, análisis de rendimiento, segmentación de datos, análisis de proporciones, etc.

SQL, database management, and analytics projects including schema design, complex queries, and performance optimization.

This project focused on honing our knowledge and skills of data modeling, engineering, and analysis.

End-to-end E-commerce Data Warehouse built in PostgreSQL. Includes ETL pipelines, RFM Segmentation, and Churn Analysis.

PostgreSQL analytics on 1.7M+ records · 16 business queries · Window functions · Stored procedures · Indexing

An end-to-end cloud-based data analytics project that processes Yelp review data using Python, Amazon S3, Snowflake, SQL analytics, and Snowflake Python UDFs for sentiment analysis.

Welcome to my SQL solutions of 8 real-world case studies for #8WeekSQLChallenge!