Available to hire
Hi, I’m Mounika, a data professional with over 9 years of experience helping organizations turn complex data into actionable insights. I’ve built end-to-end data pipelines, optimized performance for large-scale workloads, and partnered with business teams to deliver value through analytics and cloud-based solutions. I enjoy solving problems with a mix of programming, data modeling, and visualization, especially in Azure, Databricks, and BI tools.
I’m passionate about designing scalable data architectures, mentoring teammates, and continuously learning new technologies to drive measurable outcomes for the business.
Language
English
Fluent
Afar
Intermediate
Work Experience
Senior Data Engineer/Data Analyst at Intermountain Healthcare
March 1, 2023 - November 6, 2025Engineered Python and PySpark solutions to enable continuous data migration for streaming applications on Databricks; built end-to-end data pipelines in Azure Data Factory, Databricks, and Azure SQL Data Warehouse to improve data quality and analytics readiness. Created metadata YAML files to generate dynamic Delta Live Tables within a medallion architecture; implemented data storage optimization on ADLS Gen2 and designed scalable data models with star/snowflake schemas. Developed Spark Streaming jobs consuming Kafka topics and routed processed data to Cosmos DB; collaborated with stakeholders to deliver dashboards in Power BI.
Data Engineer/Data Analyst at CVS Health
February 28, 2023 - February 28, 2023Led end-to-end migration of legacy on-premises databases to Azure data platforms, implemented modern data architectures (ADF, ADLS, Synapse, Databricks, Azure SQL) for enterprise analytics, and automated deployments with ARM templates and Azure DevOps. Validated data integration and UAT plans, ensured data lineage/governance, migrated COBOL-based sources, and delivered Power BI dashboards connected to SSAS/tabular models for governance and operational insights.
Data Analyst at State of MI
December 31, 2021 - December 31, 2021Supported real-time and batch data processing using AWS Lambda and S3-based ETL pipelines; automated cloud resource deployments with CloudFormation; developed predictive analytics workflows in Python/R, built executive dashboards in SAS/Tableau, and collaborated on data warehouse design and governance to meet regulatory requirements.
Data Analyst at Asurion
December 31, 2019 - December 31, 2019Identified business-critical KPIs, built data pipelines and parsers for ETL to Data Warehouse, tested ETL processes and stored procedures, and developed dashboards in Power BI/Tableau. Implemented data mapping, data warehouse/lake solutions, and contributed to regulatory analytics and risk assessment reporting.
Data Analyst at Synchrony Inc
March 31, 2018 - March 31, 2018Performed customer segmentation and predictive modeling; built dashboards in Power BI/Tableau, integrated data across Teradata, SQL Server, and NoSQL databases, and authored data mapping/test plans. Conducted ETL development, data quality checks, and contributed to analytics for risk, marketing, and operations.
Senior Data Engineer/Data Analyst at Intermountain Healthcare
March 1, 2023 - November 21, 2025Led migration of streaming applications using Python and PySpark on Databricks, reducing data processing time by 40%. Built end-to-end data pipelines in Azure Data Factory, orchestrating ingestion, transformation, and loading with Databricks and Azure SQL Data Warehouse. Created metadata YAMLs for dynamic Delta Live Tables within a medallion architecture. Migrated historical data from Excel, COBOL-based sources, REST APIs, and databases to optimized ADLS Gen2 storage and downstream Azure SQL. Developed Star and Snowflake schemas, optimized PySpark/Python transformations with reusable UDFs, and built Spark Streaming jobs ingesting data from Kafka into Cosmos DB. Designed Power BI dashboards for stakeholders and automated deployments via ARM templates and Azure DevOps. Ensured data quality and governance across pipelines.
Education
Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Software & Internet, Professional Services
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