Mohamed Yahya M.

I help companies build, fix, and optimize Azure-based data pipelines using Azure Data Factory, Azure Synapse Analytics, PySpark, and SQL. I have hands-on experience working on production data platforms, where I’ve built API-driven ingestion pipelines, transformed large datasets using PySpark and Spark SQL, and delivered analytics-ready data for reporting in Power BI. My focus is on solving real, practical data problems — such as fixing broken or failing ADF pipelines, building reliable API-based data ingestion, and designing clean ETL workflows that move data from source systems into Azure Data Lake in a structured and scalable way. What I can help you with: • Azure Data Factory (ADF) pipelines – build, debug, and optimize • Azure Synapse Analytics – SQL pools, Spark, and workspace issues • API ingestion (pagination, tokens) • PySpark & Spark SQL transformations • ETL / ELT pipeline design • Azure Data Lake Storage (raw to curated layers) • SQL query debugging and optimization • Power BI - Dashboards I work in a structured way, and focus on delivering clean, reliable, and well-documented solutions that clients can trust in production.