G P Harish

<p></p><p>Worked with large HR datasets using SQL to analyze data, identify inconsistencies, and ensure high data accuracy.</p><p></p><p>Created and maintained Power BI dashboards and reports to help stakeholders track key metrics and make informed decisions.</p><p></p><p>Performed end-to-end data reconciliation between Workday, PECI, and SAP to ensure smooth and accurate data integration.</p>

<p>Validated and analyzed high-volume employee data across the Workday–PECI–SAP integration pipeline using SQL, ensuring accurate and complete downstream data flow<br>
Performed detailed root cause analysis (RCA) on integration failures—including backdated transactions, 3-hour PECI rule violations, 5PP issues, and missing attributes—reducing recurring data errors by 35%<br>
Built automated data quality dashboards and reports in Power BI and Excel to monitor daily PECI failures, improving visibility and enabling faster decision-making for HRIS and SAP teams<br>
Conducted end-to-end data reconciliation between Workday, PECI output files, and SAP database tables to identify mismatches, missing records, and processing gaps, increasing overall data reliability by 30%<br>
Monitored scheduled PECI integration runs and executed proactive SQL-based data checks to ensure timely data delivery and prevent downstream processing delays</p>

Validated and analyzed high-volume employee data across the Workday–PECI–SAP integration pipeline using SQL, ensuring accurate and complete downstream data flow, Performed detailed root cause analysis (RCA) on integration failures—including backdated transactions, 3-hour PECI rule violations, 5PP issues, and missing attributes—reducing recurring data errors by 35%, Built automated data quality dashboards and reports in Power BI and Excel to monitor daily PECI failures, improving visibility and enabling faster decision-making for HRIS and SAP teams, Conducted end-to-end data reconciliation between Workday, PECI output files, and SAP database tables to identify mismatches, missing records, and processing gaps, increasing overall data reliability by 30%, Monitored scheduled PECI integration runs and executed proactive SQL-based data checks to ensure timely data delivery and prevent downstream processing delays