Qamarudeen Muhammad

Architected a new data ingestion pipeline using AWS DMS and Glue to integrate core Oracle DB schemas into the client's S3 data lake.
Solved a critical Athena bottleneck by re-writing SQL joins for a multi-billion row table; slashed query times from 2+ hours to <3 minutes, restoring executive dashboards.

Architected and led two full-scale data platform migrations: first from AWS to GCP, then from GCP to a self-hosted stack (ClickHouse, Airflow), ultimately slashing monthly data infrastructure costs from ~$5000 to $700 (an 86% reduction).
Spearheaded the replacement of Power BI with a self-hosted MS Report Server, eliminating recurring licensing fees and saving the company over $36k annually.

- Utilized Terraform to write and manage IaC scripts for deploying a GCP-based web crawling infrastructure, creating a 100% automated and reproducible environment.
- Developed a key data processing component in PySpark to clean and structure raw data scraped from a major social media platform, enabling downstream sentiment and trend analysis.

Led the customization and deployment of a Moodle-based LMS for a key government client, a solution that secured a 4-year government contract.

Grade: 2.99

Graduated with Second Class Upper with research in Machine learning