I am an Artificial Intelligence student with a strong interest in Data Engineering, Data Analysis, Web Development, and AI-powered solutions. I specialize in building scalable data pipelines using Python and Apache Airflow, designing structured data warehouses, and transforming raw data into meaningful insights and analytics dashboards. My work includes ETL automation, data cleaning, validation, modeling, and reporting workflows focused on reliability and performance. I also develop web applications and APIs that integrate efficiently with databases and analytics systems. I work with technologies such as Python, SQL, PostgreSQL, Docker, pandas, and modern data engineering workflows. I focus on writing clean, maintainable, and scalable code while delivering practical solutions that help businesses understand their data and make better decisions. I continuously improve my skills through real-world projects and hands-on development experience.

Ali Hegazy

I am an Artificial Intelligence student with a strong interest in Data Engineering, Data Analysis, Web Development, and AI-powered solutions. I specialize in building scalable data pipelines using Python and Apache Airflow, designing structured data warehouses, and transforming raw data into meaningful insights and analytics dashboards. My work includes ETL automation, data cleaning, validation, modeling, and reporting workflows focused on reliability and performance. I also develop web applications and APIs that integrate efficiently with databases and analytics systems. I work with technologies such as Python, SQL, PostgreSQL, Docker, pandas, and modern data engineering workflows. I focus on writing clean, maintainable, and scalable code while delivering practical solutions that help businesses understand their data and make better decisions. I continuously improve my skills through real-world projects and hands-on development experience.

Available to hire

I am an Artificial Intelligence student with a strong interest in Data Engineering, Data Analysis, Web Development, and AI-powered solutions. I specialize in building scalable data pipelines using Python and Apache Airflow, designing structured data warehouses, and transforming raw data into meaningful insights and analytics dashboards. My work includes ETL automation, data cleaning, validation, modeling, and reporting workflows focused on reliability and performance.

I also develop web applications and APIs that integrate efficiently with databases and analytics systems. I work with technologies such as Python, SQL, PostgreSQL, Docker, pandas, and modern data engineering workflows. I focus on writing clean, maintainable, and scalable code while delivering practical solutions that help businesses understand their data and make better decisions. I continuously improve my skills through real-world projects and hands-on development experience.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate

Work Experience

Data Engineer Intern at DEPI
January 1, 2025 - Present
Built ETL workflows to move data from source files to reporting tables using Python and Airflow; Designed structured data models optimized for analysis and downstream dashboards; Implemented validation checks and logging to improve data quality and pipeline reliability; Added retry logic and modular job architecture to increase pipeline resilience; Collaborated with teammates to deliver clean, well-documented datasets on schedule

Education

Bachelor of Science in Artificial Intelligence at Egyptian Russian University
September 1, 2024 - July 1, 2028
Data Engineer in Python Career Track at DataCamp
January 11, 2030 - May 7, 2026

Qualifications

Data Engineer in Python Career Track (DataCamp)
January 11, 2030 - May 7, 2026

Industry Experience

Software & Internet, Professional Services