Sumegha Sharma

ETL Developer/Data Analysyt

• Developed and implemented data pipeline for clients using SQL Server and SSIS packages resulting in 25% increase in data efficiency and integrity
• Developed ETL processes to support data warehouse and reporting requirements for clients using AWS cloud resulted in 30% improvement in data processing time and a 10% increase in data throughput
• Optimized DBA support for production environment by implementing replication solution, resulting in 30% reduction in data transfer times and improved data availability.
• Integrated AI-based data transformation tools to automate repetitive ETL tasks, resulting in a 15% increase in process efficiency and a 10% reduction in manual errors.
• Streamlined ETL processes using AWS Glue, Python, and PySpark, leading to a 25% reduction in data processing time and improved overall data quality for clients
• Enhanced data quality through meticulous data mappings and transformations, resulting in 95% data accuracy and integrity for data migration
• Implemented 150 conversions for clients in production environment
• Created documentation for various processes and also trained new hires on data conversion processes and ETL processes
• Assisted in AWS cloud migration & used PostgreSQL to analyze and migrate data for clients
• Assisted in designing and developing Web Application for HR department in .NET 4.0 technology using tools such as Microsoft Visual Studio & SQL
• Implemented a responsive design for the company website, resulting in a 25% increase in mobile traffic and a better user experience, ultimately driving higher conversion rates.