Keerthana Chunchu
Associate @Cognizant
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WORK HISTORY
Associate @Cognizant
Hyderabad, IN
Azure Data Engineer/Data Engineer Designed and implemented ETL workflows using Azure Data Factory to extract claims (encounter) and ancillary data from core systems, transform, and load large-scale datasets into Azure Data Lake and Azure Synapse Analytics, bundling claims data as per business rules configuration. Scrubbing claims and flagging them per business rules configuration, extracting scrubbed data as per regulatory requirements, extract data as per provider business rules. Implementing Encounter Data Manager, a Trizetto product to different HealthCare Clients like Health Care Service Corporation. Fixing major issues and ad-hoc requests in the production environment. Developed optimized PySpark scripts for transforming and processing data on Azure Databricks. Managed and secured data lakes by implementing data governance policies and Role-Based Access Control (RBAC). Built scalable data pipelines to handle real-time data ingestion using Azure Event Hub and Azure Stream Analytics. Worked with business stakeholders to identify data engineering requirements and deliver customized solutions. Automated CI/CD pipelines for data workflows using Azure DevOps and integrated Power BI for real-time visualization.
EDUCATION
Malla Reddy College of Engineering & Technology
Bachelor of Technology - BTech
ABOUT KEERTHANA CHUNCHU
I hold a Bachelor\'s degree in computer science engineering and am certified in MS Azure Fundamentals AZ-900 and DP-200 Implementing an Azure Data Solution. With 4 years of experience in database design & development of business intelligence applications (SQL/SSIS/SSRS) in Microsoft SQL Server technologies.Currently I\'m associated with Cognizant, where I am working as an Azure Data Engineer for a HealthCare Client. I am effective in using Azure Data Factory and Azure Databricks with Pyspark, building ETL pipelines to extract data from different sources to destinations. Designed and implemented ETL workflows using Azure Data Factory to extract claims (encounter) and ancillary data from core systems, transform, and load large-scale datasets into Azure Data Lake and Azure Synapse Analytics, bundling claims data as per business rules configuration. Developed optimized PySpark scripts for transforming and processing data on Azure Databricks. Managed and secured data lakes by implementing data governance policies and Role-Based Access Control (RBAC). Built scalable data pipelines to handle real-time data ingestion using Azure Event Hub and Azure Stream Analytics. Worked with business stakeholders to identify data engineering requirements and deliver customized solutions. Automated CI/CD pipelines for data workflows using Azure DevOps and integrated Power BI for real-time visualization.I worked for Capgemini Technology Services, where I worked on a Data service project for a Retail Client. I have extensively utilized SSIS Microsoft SQL Server 2016/2019 and Azure Data Factory. Mainly, I am very effective in data warehousing, database design, data modeling, database migration, and creating SSIS packages using Microsoft SQL Server and Integration Services (SSIS).• Good understanding of MS Azure• Requirement Gathering and Analysis• Strategic Planning• Stakeholder Management• Basic knowledge of SSRS and Power BI • Database analysis, Warehousing, and Modelling• Version control• Excellent Communication Skills• Estimation & Forecasting• Database Design and Development
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