Islam Elsheikh

Data EngineerFull Time

• Job Details:-Designed and developed ETL/ELT pipelines using SSIS, Apache NiFi, and Python, enabling automated ingestion from multiple structured and semi-structured data sources into centralized data systems -Set up and maintained cloud-based infrastructure using Azure Data Factory, Azure Synapse Analytics, and Blob Storage for scalable data storage and processing -Managed and optimized SQL Server and Snowflake databases, ensuring data availability, performance tuning, and secure access across multiple teams and projects -Implemented robust data quality checks and validations using SQL, dbt, and custom Python scripts to ensure data accuracy, consistency, and reliability across ETL workflows Built and maintained data warehouses modeled with Star/Snowflake schemas, enabling efficient analytics and reporting for Power BI and Tableau dashboards. -Integrated AI and machine learning models (e.g., Scikit-learn, basic classification models) within ETL pipelines to extract insights, automate operations, and enhance decision-making capabilities -Designed and deployed intelligent chatbots using Python, NLP libraries, and SQL Server that dynamically convert natural language queries into SQL to interact with data warehouses -Monitored and debugged data pipelines using tools like Apache Airflow, Azure Monitor, and Git/Azure DevOps, ensuring real-time data flow reliability and on-time delivery

Software Engineer and reporting dataFull Time

• Job Details:•Building Reporting and Maintaining Software •Designing and developing BI dashboards and reports. •Building data pipelines and infrastructure: They may build systems to collect, clean, and store data efficiently, making it accessible for analysis. •Developing data visualization tools: They can create interactive dashboards and reports to present data insights in a user-friendly format. •Automating data analysis tasks: They might write scripts or tools to automate repetitive data analysis processes, saving time and improving efficiency.