Application Support / Software Engineering Analyst with 4 years experience in enterprise production support and workforce management systems. Resolved 1000+ technical tickets (including 250+ in a single quarter) through structured triage, root-cause analysis, fix validation, and stakeholder communication. Strong hands-on exposure to SAP Fieldglass, SQL Server, and identity/access workflows across Entra ID (Azure AD) and SailPoint, along with change management (Emergency/Normal CRs) maintaining DQR ≥ 7. Experienced in deployments, UAT/testing, daily operational reporting, and maintaining Confluence documentation to ensure stable releases and reliable operations.
Overview
4
4
years of professional experience
Work History
Packaged App Development Senior Analyst
Accenture Solutions Private Limited
Bengaluru
09.2021 - Current
Resolved 1000+ technical/production support tickets over 19 months, owning triage → RCA → fix validation → closure with strong stakeholder communication.
Managed peak volume of 250+ tickets in a single quarter, prioritizing critical incidents and reducing repeat issues through root-cause fixes.
Prepared and shared daily Fieldglass status reports summarizing completed work, open items, priorities, and next actions for stakeholder visibility.
Raised and managed Emergency + Normal CRs, consistently maintaining DQR ratings ≥ 7 while meeting governance and quality standards.
Supported workforce management operations on SAP Fieldglass, ensuring accurate profiles, lifecycle updates, and stable business operations.
Troubleshot IAM/data-sync issues across SAP Fieldglass + Entra ID + SailPoint + SQL Server, improving access accuracy and cross-system consistency.
Performed SQL-based diagnostics and data validations to reconcile records across systems and identify upstream/downstream root causes.
Conducted testing/UAT in Fieldglass for enhancements (e.g., adding new profile fields), validating edge cases and ensuring release stability.
Supported release/migration activities (Dev → Test) with post-deploy validation to prevent regressions.
Updated and maintained Confluence pages/runbooks after deployments, strengthening KT quality and reducing resolution time for recurring issues.