Optimize Laravel queries using SQL JSON aggregation - reduce multiple relation queries to a single SQL statement

A security and performance inspector for Django & DRF. Features static analysis, config checks, N+1 query detection, and SARIF support for GitHub Code Scanning.

Reduce multi-relation Doctrine queries to a single SQL statement using JSON aggregation. Solves Doctrine's N+1 problem.

An end-to-end business analytics SQL portfolio built on a custom e-commerce database — designed to answer real business questions about customers, revenue, retention, and product performance using advanced SQL techniques.

Database Reliability Engineering platform for HA/DR, 100TB+ migrations, performance guardrails, and self-healing data systems.

AI Query Optimizer Report

A curated knowledge base and second brain for MySQL architecture, query optimization, and database administration. Structured for deep learning via Obsidian.

Documentation-as-Code knowledge base for Platform Engineering: Linux systems, backend development (Java/Python/SQL), infrastructure (Docker/CI-CD), and LTS-safe operations runbooks.

19 production-ready PostgreSQL queries solving real e-commerce analytics challenges. Advanced SQL techniques: CTEs, window functions, complex joins & stored procedures.

🗄️ IBM Relational Database Administrator with GenAI Certificate Portfolio – A comprehensive collection of projects, labs, and assignments showcasing expertise in relational database administration, 🏘️data warehousing, 🔁ETL pipelines, and 🤖Generative AI integration for modern database management.

Personal portfolio showcasing end-to-end projects in Backend Development, Big Data Pipelines, and BI. Focused on Python, PySpark, Node.js, and SQL optimization.

An enterprise-grade, multi-vendor e-commerce platform built with Django & DRF. Features dual JWT/Session auth, an asynchronous cart API, Khalti payment integration, and highly optimized SQL queries (zero N+1 issues).

Scalable ETL pipeline and PostgreSQL optimization for 40M+ records. Features memory-efficient Python preprocessing and B-Tree indexing for a 95% reduction in query latency.

Fast C extension for grouping consecutive monotonic sequences into ranges. O(n), works with any Comparable+succ type. Useful for compacting large IN() clauses in SQL.

Sistema web para mineração e consulta de slow_logs do MySQL.

Querying, data manipulation, performance optimization, and AWS-specific SQL

Full-stack data analytics platform built with Python, Streamlit, and MySQL, integrating 2M+ Chicago open-data records with relational database design, ETL pipelines, geospatial analytics, and interactive SQL-driven dashboards.

Interactive Data Analytics Dashboard for German Crime Victim Statistics (2023-2024). High-performance visualization of 430k+ records using PHP, MySQL, and Chart.js.

This repository contains solutions to the first 50 SQL problems on LeetCode. Each problem is solved using SQL queries, with detailed explanations and efficient approaches. These solutions aim to help users improve their SQL skills and understanding of database concepts while providing clear and well-documented code for reference.

This repository contains database schema designs that follow industry best practices. The schemas are designed with scalability, modularity, and maintainability in mind, and they are freely available for developers to use, study, and improve upon.