Data engineer from Cairo. I spend most of my time building data platforms and ETL/ELT pipelines β currently at VOIS (Vodafone Intelligent Solutions) working on large-scale telecom data. Before that I built the enterprise data platform for Leejam Sports Company (Fitness Time) in Saudi Arabia, and I've done freelance data work on the side, including a six-month ETL project for the World Health Organization covering Egypt, Sudan and Gaza response data.
Microsoft Fabric is my main stack these days β Lakehouse, Warehouse, Data Factory, notebooks, the whole platform. Around that: PySpark, Python, SQL, AWS (S3, Lambda, Glue), GCP (BigQuery), PostgreSQL, SQL Server, Oracle, MongoDB, and Power BI for the reporting side.
- fabric-enterprise-dwh-pipeline β architecture write-up of an enterprise data warehouse pipeline I built on Fabric: source systems to landing zone to star schema, with audit tracking
- health-metrics-ocr-pipeline β Fabric notebook pipeline that turns body-composition report images into warehouse tables using Azure AI Vision OCR, with checkpoint-based incremental loading
- bosta-secure-data-pipeline β case study on securing an ETL flow on AWS: KMS encryption, PII masking, IAM role separation
- koinz-case-study β incremental Spark job syncing PostgreSQL to ClickHouse on a 30-minute schedule
- data-engineering-practice β practice scripts and experiments (S3 ETL, sales data warehouse loads, MongoDB)
I also build web apps when the project is interesting β currently maintaining a services platform for Physics Academy (private repo).
- LinkedIn: linkedin.com/in/ahmed-mohamed-280481273
- Email: shabaik1996@gmail.com