I'm a Data Engineer, currently completing an intensive Data Engineering program at ITI. I build end-to-end data pipelines — from real-time ingestion to analytics-ready warehouses — and I care about making data systems that are reliable, well-modeled, and easy for downstream teams to trust.

I design and build data platforms covering the full pipeline lifecycle: ingesting raw data, transforming it, modeling it for analytics, and delivering it through dashboards that support real business decisions.

Recent work includes:

• 🔹 Telecom Churn Analytics Platform — real-time Kafka ingestion + PySpark Structured Streaming, organized through a Medallion Architecture (Bronze/Silver/Gold) on GCP, with a dimensional warehouse built in dbt and BigQuery. → github.com/srabuzied/telecom-churn-data-platform

• 🔹 Banking Customer Analytics Dashboard — ETL pipeline built with SSIS to integrate multi-source banking data, with Power BI dashboards for customer segmentation. → github.com/RehamMohammed317/Banking-Data-Engineering-Project

• 🔹 Gravity Book Data Warehouse & OLAP Solution — dimensional data warehouse with star schema modeling and OLAP cubes for multidimensional reporting. → github.com/RehamMohammed317/gravity-books-data-warehouse

Languages: Python · SQL

Big Data & Streaming: Apache Spark · PySpark · Apache Kafka · Structured Streaming

Orchestration & Transformation: Apache Airflow · dbt · SSIS

Cloud & Warehousing: Google Cloud Platform (GCP) · BigQuery · Google Cloud Storage

Databases & Modeling: SQL Server · Dimensional Modeling · Star Schema

BI & Visualization: Power BI · Looker Studio · Grafana

DevOps & Tools: Docker · Git · GitHub · Linux

Currently deepening my skills in Microsoft Azure, Databricks, and advanced Spark performance optimization.

• 💼 LinkedIn: linkedin.com/in/reham-darwish
• 📧 Email: Reham.Darwish2002@gmail.com
• 📍 Based in Cairo, Egypt — open to Data Engineer roles