F

Fady Mohamed Elhosary

@Fady_Elhosary

متاح للعمل
Cairo

Data Engineer with a background in Software Engineering and a degree in Computers and Information , Skilled in database management, data warehousing, and big data technologies , Experienced in ETL development, data modeling, and optimizing data pipelines to support business intelligence and analytics , Proficient in developing dashboards using Power BI to drive data driven decisions , Passionate about solving data challenges and enhancing scalable data infrastructure

المهارات

Data Analysis
Databases
Data Engineer
ETL
ELT

الخبرة

I have extensive experience in implementing machine learning algorithms to solve real-world problems, with a strong background in regression, classification, and clustering techniques. I started as a Machine Learning Engineer Intern at Huawei (Jul 2022 – Sept 2022), where I worked on practical ML applications. Later, I served in the Egyptian Armed Forces as a Database Developer (Nov 2023 – Nov 2024), developing and optimizing SQL queries, stored procedures, and database scripts while ensuring high performance, stability, and secure data operations, as well as improving data accuracy and system efficiency. I then worked as a Data Engineer Intern at Jadara Solutions (Jul 2023 – Oct 2023), gaining hands-on experience with Informatica PowerCenter, data governance, and data quality. At Global Brands Group (GBG) (Mar 2025 – Sep 2025), I managed and optimized SQL Server databases, designed and maintained data warehouse solutions, built ETL pipelines using SSIS and Microsoft Fabric, and developed dashboards using SSAS and Power BI. Currently, I work at ALEXBANK (Oct 2025 – Present) as a Junior DWH & MIS Analyst, where I manage Oracle databases, design and maintain DWH solutions, and build ETL pipelines using Informatica PowerCenter. In addition, I work as a Freelance Instructor (May 2025 – Present) on the Khamsat platform, delivering training sessions on data warehousing and ETL concepts, designing hands-on projects, and guiding students in building end-to-end data pipelines and dimensional models.

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