Data Engineer building reliable data platforms

I design warehouses, ETL/ELT pipelines, and analytics stacks with Python, SQL, Airflow, dbt, and cloud.

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Pipelines

+50

Datasets

1TB+

Dashboards

Uptime

99.9%

Focused on reliability, cost-efficiency, and clean modeling.

About me

I’m Ali, a Data Engineer with a strong ability to bridge the gap between engineering and analytics. I design and optimize modern data platforms that not only process information at scale but also transform it into actionable insights for business growth. My end-to-end expertise—from data ingestion and transformation to modeling and visualization—allows me to deliver solutions that are both technically sound and strategically impactful.

Highlights

Designed warehouse that cut query cost by 35%
Built CDC pipeline from Postgres → BigQuery
Set up observability: data tests, SLAs, alerts

Education

BS in Data Science

Alexandria University — College of Computers and Data Science

Cumulative GPA: 3.95 / 4.0

Experience

Data Engineer Trainee

Digital Egypt Pioneers Initiative (DEPI) — Ministry of Communications and Information Technology (MCIT), Egypt

June 2025 – Dec 2025 | Alexandria, Egypt

Selected for DEPI Scholarship by MCIT in Data Engineering.
Trained on Azure Data Factory, Synapse, Databricks, Delta Lake, and Microsoft Fabric.
Built ETL/ELT pipelines, warehouses, and real-time analytics with SQL, Python.