Harshini Indu

Designed Power BI dashboards over curated Azure Synapse marts so operations leads could track pipeline health and data freshness without engineering tickets. Built SQL reporting models with dbt staging and mart layers, standardizing metric definitions from one governed source. Automated Azure Data Factory refreshes using incremental loads, reducing data freshness from four hours to thirty minutes. Implemented data quality validation checks on reporting tables, reducing downstream dashboard exceptions by 30% and flagging anomalies before stakeholder review. Partnered with data scientists and analysts to define KPIs and visualization needs, translating requirements into reusable Tableau and Power BI views. Documented metric lineage and access controls in Confluence to provide an audit trail for sensitive reporting datasets.

Delivered Tableau dashboards for a healthcare payer client, presenting claims and member eligibility metrics for non-technical operations staff. Designed SQL reporting queries and source-to-target mappings so payer reporting reconciled cleanly against warehouse tables before each release. Reconciled claims records during a data warehouse migration and surfaced a 2% mismatch in member eligibility records; built validation scripts to correct the discrepancy before go-live. Translated complex claims datasets into accessible visualizations with client leads and validated reporting accuracy during UAT. Applied HIPAA-aware handling practices to protected health information in reporting extracts, restricting dashboard access by role and documenting privacy controls.