Gudla Charan Kumar Reddy

About Gudla Charan Kumar Reddy

Experienced Application Development Senior Analyst with a demonstrated history of working…

Experience

1. Senior Technical Consultant

   IBM

   Feb 2023 — Present · Bengaluru, IN

   Implemented a password protection feature for pay slips, allowing employees to use custom password formats that align with client needs-Developed HDL control reports to address error messages during bulk HDL loads-Developed tailored HSDLs for voluntary deductions, garnishments, educational loans, and supplemental rates to facilitate data uploads by business users-Developed payment validation reports to ensure the accuracy of payroll processing-Established Payment Funding Reports to assess the necessary funding amounts needed by the LE and Source bank from the organization-Involved in the implementation of sophisticated interfaces like Health Savings Accounts (HSA), Flexible Spending Accounts (FSA), and 401(k) plans, encompassing both regular and bonus contributions. This role required confirming the accuracy of total amounts and employee counts for each payroll, while also complying with vendor file formats to create files from the Fusion system-Prepared a report for active employees who have not been compensated, designed to assist in the analysis and reprocessing of payroll during the payroll cycles-A Payroll comparison tool has been created to analyze and contrast fusion payroll data with legacy payroll data, providing users with clear messages regarding any discrepancies identified-Contributed to the creation of reports and interfaces concerning absence management and Flexible Work Arrangements (FWA)-Designed bespoke HDL Fast formulas aimed at refining employee and balance adjustments related to the club header and lines in a unified loading process-Developed year-to-date and compensation analytics reports aimed at business users, providing the capability to analyze payroll data for particular date ranges. The reports feature dynamic column generation that adapts to the selected dates, improving the comparison of payroll data.