Operational Delivery• Support the business requirements for the provision of internal applications, deliver an effective support and maintenance service for identified business applications, and undertake the implementation of application developments, including defined projects, where assigned• Work from high level requirements through to detailed specifications, prototypes, software deployment and administration• Develop and deploy various applications within the organization BI SQL environment• Provide input to architectural decision making• Participate in analytics-based design and innovation forumsData Engineering• Implement development workflow, coding, testing, and implementing solutions in a SQL environment• Implement unit testing for all assigned deliverables to ensure deployment success• Monitor and optimize performance of data processing and storage systems• Develop and maintain documentation for data systems and processes• Collaborate with data scientists and data analysts to ensure data is properly analyzed and acted upon• Stay up to date with emerging trends and technologies in the field of data engineering.

-Building prediction models using time series.-Google Analytics for reading and analyzing data.-Microsoft Power BI for building Dashboards.-Building pipelines for data ETL to different storage areas in the cloud using Azure Data Factory.-Understanding data via Azure Data bricks and learning Python programming.-Data extraction, manipulation and transformation using SQL Server Management Service(SSMS) .-Pipeline building, setting triggers(automation), and monitoring the functioning.-Merging data branches for publication in Azure Data Factory.-Setting variables, parameters and making connections for cloud and on-premise databases.-Understanding customer behavior and creating solutions that are customer-centered.-Connecting internal and external storage areas using linked services and pipelines.- Pulling individual pipelines into the main branch using Azure DevOps for publication.-Cleaning the data lakes and databases using automated Azure Data Factory pipelines.-Data engineering on the cloud and Data ingestion for beginners certification on Azure.

-Building Customer financial profile.-Securing safety savings and protection covers for clients.-Helping customers be aware of their financial status and understand their financial needs.

Helping students understand the modules.Setting training questions for students to improve understanding of modules.Invigilating the tests and exams for students.