Shraddha Barve

Technology Analyst with 4.5+ years of experience supporting enterprise applications, data platforms, and ETL environments across Investment Banking Management and Telecommunications domains. Experienced in incident management, production support, application monitoring, troubleshooting, and root cause analysis using SQL, Azure technologies, Splunk, and Apache Airflow. Skilled in monitoring critical business applications, analyzing logs, resolving issues within SLA commitments, and collaborating with cross-functional teams to ensure system availability and operational excellence.

Strong understanding of ETL processes, data pipelines, database operations, Autosys jobs, SQL blocking, TempDB and cloud-based data platforms including Azure Databricks, ADLS Gen2.

L2 System Support Engineer/Technology Analyst - Infosys - Pune, India

(2022-04)

Client : The Capital Group

• Managed and tracked incidents, service requests, and problem tickets through ITSM tools, ensuring timely updates and customer communication.
• Supported and maintained Azure Databricks pipelines handling large-scale batch and streaming jobs; validated job execution logs, cluster configurations, and workspace permissions to ensure smooth data flow.
• Performed detailed RCA (Root Cause Analysis) for incidents logged in ServiceNow, including Spark job failures, schema mismatches, and connectivity issues with ADLS Gen2 and SQL Server.
• Collaborated with clients to reproduce issues in lower environments, explained RCA findings, and recommended preventive measures (e.g., partitioning strategies, schema validation, retry logic).
• Orchestrated workflows using Apache Airflow DAGs and Autosys job scheduling, managing dependencies, retries, and SLA monitoring for mission-critical pipelines.
• Performed basic Azure monitoring activities, tracking application performance, availability, and alerts
• Executed SQL queries for data validation, troubleshooting, Job monitoring, blocking session analysis, and database health checks.
• Monitored dashboards in Splunk to track job runtimes, error codes, and SLA breaches; configured proactive alerts to reduce incident recurrence.
• Documented incident resolutions and created knowledge base articles for recurring issues, improving support turnaround time and reducing duplicate tickets.

Bachelor of Engineering - Computer Science - Savitribai Phule Pune University (2017 - 2020)