Pallavi Hegde

Feb 2021 - Present

IBM

Built Power BI datasets and reports to monitor user issues, modeled star schemas, authored DAX measures, and implemented RLS, improving incident triage SLA compliance by 20% and reducing backlog age by 18%.
Engineered ETL for wireless access point telemetry and automated Juniper Mist WAP deployment workflows; delivered switch capacity analytics and automated over-capacity alerts, reducing incidents by 35% and cutting mean-time-to-detection by 20 minutes.
Automated campus and site network analytics with Python and SQL, standardizing data collection and reporting to eliminate 15+ hours of manual work each month while improving data completeness by 25%.
Standardized Power BI modeling and performance tuning using DAX Studio and Tabular Editor to maintain more than 99% dataset refresh success.

Feb 2020 - Jan 2021

IBM

Migrated a voice cost ETL pipeline from DataStage to PySpark orchestrated with Airflow, improving processing speed by 40%, cutting costs by 25%, and eliminating 70% of manual steps.

Work Experience