Vandana Cherukuri

Process and analyze banking transaction and customer datasets using Databricks, PySpark, and Spark SQL. Build portfolio and transaction forecasts, investigate forecast variances, write complex SQL queries, reconcile warehouse extracts with source and downstream data, and apply validation controls for reliable reporting. Translate business requirements into metric definitions, data dictionaries, and technical requirements, while building Power BI and Tableau dashboards and documenting logic and issue resolution in JIRA.

Queried EHR/EMR clinical, laboratory, patient, claims, and revenue cycle data using SQL, including LOINC, SNOMED, and ICD-10 coded fields. Identified and resolved discrepancies across operational and analytical systems, implemented data profiling and validation checks, automated recurring claims and KPI reporting, and developed Tableau and Power BI reports supporting clinical, financial, and operational decisions within HIPAA-aligned workflows.

Built ETL processes integrating multi-source datasets through APIs and cloud platforms. Designed Power BI data models and KPI scorecards, cleaned and transformed data with Python and SQL, standardized repeatable workflows, and documented data lineage, validation rules, and process flows with Agile teams to support governance and reproducibility.