omar meligy
@omarmeligy
I am a data engineer specializing in cloud-native ETL and analytics.
What I'm looking for
I am a data engineer specializing in cloud-native ETL and large-scale analytics pipelines. I built a real-time fraud detection pipeline on AWS using Kafka, Kinesis, Glue, Redshift and Lambda that processes millions of daily transactions, triggers automated alerts, and produces executive dashboards.
I also designed and implemented big data and data warehouse solutions using Hadoop, PySpark, Hive, Docker and SSIS for clinical and sales analytics (MIMIC-III and Northwind projects). I combine engineering discipline from my Mechanical Production Engineering background with focused data engineering training to optimize systems and deliver measurable business value.
Experience
Work history, roles, and key accomplishments
Technical Office Engineer
The Dutch Egyptian Capri
Oct 2024 - Mar 2025 (5 months)
Translated complex technical project data into actionable insights to drive operational efficiency across shipbuilding projects.
Process Engineer
V2X Company
Nov 2023 - Oct 2024 (11 months)
Optimized project workflows by analyzing performance metrics and establishing a data-driven approach to quality assurance.
R&D Engineer
Alexandria Steel Forming Company
Jul 2022 - Oct 2022 (3 months)
Leveraged large-scale simulation data and performance modeling to optimize design parameters and improve product quality.
Education
Degrees, certifications, and relevant coursework
Information Technology Institute (ITI)
Diploma in Data Engineering, Data Engineering
2025 -
Completed an intensive Data Engineering diploma program at the Information Technology Institute (ITI) from Feb 2025 to Jul 2025, focusing on cloud-based ETL and big data tools.
Alexandria University
Bachelor of Mechanical Production Engineering, Mechanical Production Engineering
2017 - 2022
Completed a Bachelor of Mechanical Production Engineering at the Faculty of Engineering, Alexandria University, with emphasis on mechanical and production systems and graduating in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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