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realspinn/README.md

Israel Adeleye. Database engineering. Cloud Database Engineer · SQL safety tooling. MySQL · PostgreSQL · SQL Server.

Israel Adeleye

Cloud Database Engineer
MySQL · PostgreSQL · SQL Server · AWS · Google Cloud

About me · Tech stack · Featured projects · GitHub activity · Currently focused on · Connect


About me

I'm a Database Engineer building reliable, high-performance data systems across MySQL, PostgreSQL, and SQL Server in cloud environments.

I design production-grade databases, optimize performance bottlenecks, and deploy scalable infrastructure on AWS and GCP. I work with Python and Linux to automate database operations and bridge the gap between traditional database management and modern cloud-native practices. I'm passionate about database internals, constantly learning new technologies, and solving complex data challenges that drive business results.


Tech stack

Databases

MySQL PostgreSQL Microsoft SQL Server MongoDB

Languages and data

Python pandas FastAPI Bash

Cloud and tools

AWS Google Cloud Linux Git GitHub Gitee

The tools I work with. The stack used in each project is listed with the project below.


Featured projects

How risky is this SQL, and how sure are we about that?

Python FastAPI MySQL

A tool for reviewing MySQL SQL from database tickets before it is run. For each statement it gives a risk level and score, a confidence level, the findings behind the score and a review checklist. It can add read-only evidence from a database (execution plans and table metadata), and it never runs the SQL you submit. Scoring is rule-based and deterministic: no AI model makes the risk decision.

Worth a look: a DBA gets a review that says what it knows, and what it does not, before the SQL reaches a real database. It ships as a portable Windows app and an unsigned macOS (Apple Silicon) build.

Repository · Latest release · Contributing guide

See a results page
Screenshot of MySQL DBA Validator results for a batch of four made-up statements: overall risk CRITICAL, score 100 of 100, with the top finding (a DELETE with no WHERE clause) and a table of each statement's risk, confidence and key finding.
Microsoft SQL Server

A warehouse built from raw ERP and CRM files using the Medallion architecture (bronze, silver, gold), with ETL load procedures and a star schema for analytics.

Worth a look: the load procedures for each layer and the data quality checks.

PostgreSQL

A normalised banking schema for customers, accounts, transactions and loans, with stored procedures, indexing and analysis queries.

Worth a look: the indexing script next to the analysis queries it supports.

Microsoft SQL Server

A streaming-subscription database for users, plans and watch history, with constraints, stored procedures, window functions and CTEs.

Worth a look: the stored procedures and the window function and join queries.

All repositories →

GitHub activity

Public GitHub activity card: total stars earned, commits in the last year, pull requests opened, pull requests merged, pull requests reviewed and issues opened, counted from public activity by github-readme-stats. Contribution streak card: total contributions since joining GitHub, the current daily streak and the longest streak, taken from the GitHub contribution calendar.


Currently focused on

  • MySQL DBA Validator is pre-1.0 and developed in the open. Contributions and feedback from DBAs are welcome: see the contributing guide or start a conversation in the project's Discussions.
  • Keel is an early-stage concept for chronic-care and medication management. It is not public yet.

Connect

LinkedIn: iao-adeleye Email: adeleyeisrael400@gmail.com


"Stay consistent. Success will chase you." — IAO

Pinned Loading

  1. mysql-dba-validator mysql-dba-validator Public

    Deterministic SQL risk review for MySQL ticket SQL, with an optional local connector for read-only evidence.

    Python 2 4

  2. sql-data-warehouse-project sql-data-warehouse-project Public

    Built data warehouse from scratch using Medallion architecture; designed ETL pipelines, star schema, and optimized queries for analytics.

    TSQL 1

  3. NetflixDB-SQL NetflixDB-SQL Public

    Structured tables for users, subscriptions, and watch history; applied constraints, functions, and views to enforce business rules.

    1

  4. contoso-sql-analysis contoso-sql-analysis Public

    Wrote complex SQL queries, CTEs, and views to analyze sales performance; tuned poorly normalized tables for faster queries.

    1

  5. BankDB-SQL-Project BankDB-SQL-Project Public

    Designed normalized schema for customers, accounts, transactions, and loans; implemented stored procedures and indexing for performance.

    1

  6. amazon-ecommerce-db amazon-ecommerce-db Public

    1