Karthik R

About Karthik R

As a software engineer with a Master\'s degree in Computer Science from the University of North Carolina at Charlotte, I have a strong background in full-stack development and cloud computing. I have worked on various projects involving React.js, Node.js, JavaScript, MongoDB, and RESTful APIs, improving customer experience and reducing delays in claims and policy calculations. I have also enhanced page load performance by integrating TypeScript for type safety and implementing lazy loading and route-level code splitting in React. Additionally, I have secured user data and APIs by applying Spring Security with OAuth 2.0 and JWT, strengthening authentication and authorization for sensitive operations. I am passionate about learning new technologies and staying updated with industry trends. I am also an AWS Certified Cloud Practitioner, AWS Academy Graduate - AWS Academy Data Engineering, and AWS Certified Solutions Architect – Associate. I am always eager to take on new challenges and contribute to innovative solutions.

Experience

1. Data Engineer

   EY

   Aug 2024 — Present · Charlotte, NC, US

   Engineered ETL pipelines in Azure Data Factory and Snowflake, improving data refresh times by 40%.• Implemented data governance and security controls (RBAC, masking) to ensure GDPR/CCPA compliance.• Delivered Power BI dashboards backed by Synapse and Snowflake models, accelerating audit analytics.• Engineered end-to-end ETL pipelines in Azure Data Factory (ADF) to ingest and transform large volumes of customer, loan, and transaction data from on-prem systems and APIs.• Designed and implemented a centralized data warehouse in Azure Synapse Analytics, supporting analytical and operational workloads across finance and compliance teams.• Utilized Azure Data Lake Storage (ADLS) for scalable data staging, archival, and retrieval, ensuring secure and cost-efficient storage of historical banking records.• Developed data transformation and enrichment workflows in Databricks, improving data freshness and reducing batch latency by 45%.• Built and managed Kafka streaming pipelines to capture real-time card transactions and account events, enhancing the accuracy of fraud monitoring dashboards.• Automated data validation, schema reconciliation, and error handling processes, ensuring 99% accuracy across ETL layers and audit-ready outputs.• Collaborated with reporting teams to deliver Power BI dashboards backed by optimized Synapse models, enabling faster regulatory and risk analytics.• Partnered with architects and DevOps teams to version-control pipelines in Azure Repos, ensuring traceable deployments across multiple environments

Education

• University of North Carolina at Charlotte

  Master's degree