● Designed, developed, and maintained the data extraction and transformation processes, ensuring that all data is loaded correctly and extracted in and out of company systems and gaining a 100% success rate for the task.● Implemented triggers, packages, functions, and stored procedures to convert and manipulate data and to create database objects dynamically based on user input, enhancing performance by 10%● Assisting the front-end design team with providing the necessary stored procedures and packages and providing the necessary data insight● Successfully lead a team of four analysts after interviewing, training, and mentoring them● My technical skills enabled me to accelerate existing development activities and complete all work orders on schedule, improving the eta by 15%.

● As an experienced PL/SQL developer, I developed data warehousing client applications that involved the extraction, transformation, and loading of data from multiple sources into the data warehouse● Using my extensive Data Analysis experience, maintained daily, weekly, and monthly reviews of KPIs, and analyzed any processes that could impact the integrity of data.● Development of data collection processes and data management systems maintenance of data integrity (0%error rate), in-depth research of defect trends.● Tested coding modifications and assisted with application and system testing to minimize errors and downtime,● Gained a 35% reduction in general and specific errors and downtime problems..● Translated business requirements into technical requirements, delivering an application code that is fully tested, meets the business requirements, and 100% compliance with all company/organizational standards

● Migrated ETL jobs on cloud using talend studio, optimizing the storage process by 10%● Interacted with end-users and functional analysts to identify and develop business specification documents (bsd) and transform it into technical requirements● Automated the transfer of source files from the source server to the target etl server by creating a shell script, this reduced the workload by 6 hours a week● Created 10+ SQL queries to obtain data from multiple tables, extract it into csv format and provide it to business users.