Ashwitha Gangala24

Integration Support Analyst

Talent

HyderabadMember since 25 May 2026

Informatica PowerCenterAutosysSQLAxway MFTInformatica Workflow MonitorServiceNowRoot cause analysisWinSCPTeradata

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Informatica PowerCenterAutosysSQLAxway MFTInformatica Workflow Monitor

About

Experienced Integration Support Analyst with 5+ years of expertise in production support, workflow monitoring, and incident resolution across complex enterprise systems. Skilled in Informatica PowerCenter, Axway MFT, Autosys, and ServiceNow. Experienced in root cause analysis, session-level troubleshooting, and backend recovery.

Helped reduce downtime by monitoring jobs and resolving incidents quickly. Worked closely with DBAs and operations teams to fix integration issues in high-volume retail and supply chain environments.

Experience

ASSOCIATE / TECH LEAD - ETL Support Analyst (Informatica) at COGNIZANT TECHNOLOGY SOLUTIONS INDIA PVT. LTD. (2021-03 – Present)

Monitor and troubleshoot end-to-end ETL workflows using Informatica PowerCenter, including workflow diagnostics, session log analysis, and backend recovery of failed jobs.
Used Workflow Monitor to track job statuses, monitor dependencies, and initiate recovery actions based on failure triggers.
Perform root cause analysis (RCA) for session-level failures by extracting logs via WinSCP and investigating using Workflow Monitor and repository tools.
Utilize structured SQL queries for data validation across source and target tables, resolving inconsistencies and duplicates through schema-level inspection.
Manage Teradata-related issue investigation, addressing table locks, data inconsistencies, and constraint violations through SQL analysis in Oracle SQL Developer to ensure data integrity and performance optimization.
Manage incidents through ServiceNow, handling ticket assignment, issue tracking, RCA documentation, and resolution closure across multiple systems.
Diagnose file transmission failures via Axway MFT (B2Bi/Sentinel); resubmit files from inbound or target systems and coordinate recovery based on error messages.
Support scheduled job analysis using Autosys, focusing on job run failures and timeline discrepancies.
Contributed to reduced Mean Time to Recovery (MTTR) through proactive monitoring, automated log handling, and early identification of recurring error patterns.