Mohammed E.

I’m a Data Engineer with hands-on experience designing and building scalable, cloud-native data pipelines. I specialize in transforming complex data into reliable, production-ready datasets that drive business decisions. I’ve worked extensively with modern data stacks across GCP and Azure, building robust pipelines using python , SQL, BigQuery, Databricks, Airflow, ADF, and Terraform. My approach focuses on automation, maintainability, and performance optimization. What I Can Help You With -Build end-to-end data pipelines (ingestion → transformation → reporting) -Design and optimize BigQuery data warehouses -Develop workflows using Apache Airflow -Implement dbt models for clean and modular transformations -Automate infrastructure using Terraform -Process and transform data using PySpark / Databricks -Handle APIs, file ingestion (CSV, Excel, JSON, ZIP), and logging systems -Migrate pipelines from Azure → GCP -Create scalable, metadata-driven architectures