Design, implement, and maintain reliable database systems to support operational and analytical requirements.

Develop and maintain ETL processes to transform, clean, and load data into data warehouses or data lakes.

Monitor and optimize database performance, including troubleshooting issues and tuning queries

Developing Snowflake GenAI native apps

Managing migration GCP to Snowflake and creating new data models.

Conducting Graph-RAG research.

Designed and delivered comprehensive lectures on key topics like data pipelines, ETL processes, and data warehousing.

Crafted and evaluated assignments and exams to measure students' understanding, developed real-time simulations for practical experience, and collaborated with fellow instructors to refine the curriculum, ensuring alignment with industry standards.

Educated professionals in becoming data engineers, focusing on SQL, Python, Spark, Airflow, and data warehousing concepts.

Used Python, Apache Spark, SQL, and Apache Airflow in the instructional content and practical exercises.

Led the design, development and optimization of streaming and batch data pipelines, advanced data monitoring, and data warehousing solutions.

Deployed robust AI/ML models into production ensuring data integrity and conducted comprehensive data analysis.

Architected an AI tool for fraud detection that identifies fraudulent credit card transactions, and implemented into the existing tech stack to enhance online secuirty.

Engineered a sophisticated data pipeline to streamline data processing and analysis, supporting various data-driven initiatives.

Architected and implemented scalable data pipelines and developed and maintained ETL processes for AI models, integrating them into existing applications via APis, and ensuring high performance and accuracy of data systems.

Led the development of an NLP-based entity resolution and matching system using BERT and Random Forest models integrated within a data pipeline, deploying the solution using Apache Spark in a production environment using Apache Spark.

Collaborated with the DevOps team to facilitate smooth deployment of models to production environments.

Developed high-performance algorithms and data pipelines for text processing using Python and Rust.

Directed a project on network analysis of social media for personalized ads incorporating GPT-2-based text generation systems, enhancing targeted advertising strategies.

Designed and implemented large-scale data transformation solutions using AWS and MongoDB and deployed advanced models to production, optimizing them for efficiency and accuracy.

Used advanced computerized models to extract needed data and removed corrupted data.

Conducted an initial analysis to assess data quality and performed further analysis to determine the meaning of the data.

Prepared reports based on analysis and presented them to management.

Implemented and maintained ERP systems for hospitality corporates in the MENA region.

Configured functions and workflow to facilitate ERP integration with other applications.

Defined requirements, scope, and objectives related to overall business strategies and translated business requirements into ERP solutions.