Uthej R
Data Engineer @HCA Healthcare
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WORK HISTORY
Data Engineer @HCA Healthcare
Built and optimized scalable end-to-end ETL/ELT pipelines using Azure Data Factory, Synapse, Databricks, Kafka, and Snowflake. Implemented real-time and batch ingestion frameworks, enhanced data models for performance and cost efficiency, executed SQL Server–to–Snowflake migrations, and improved legacy Informatica workflows while enabling secure, distributed processing on ADLS Gen2 and Azure Blob Storage.
ABOUT UTHEJ R
Senior Data Engineer with 8+ years of experience building secure, cloud-native data platforms for Finance and Healthcare enterprises.• Expertise in designing and deploying AWS (S3, Lambda, Redshift, EMR), Azure (Data Factory, Synapse, Blob Storage), and Snowflake solutions.• Skilled in modernizing legacy ETL systems into scalable, modular, and highly maintainable pipelines.• Built high-throughput batch and real-time data ingestion frameworks using Spark, PySpark, Kafka, and Azure Databricks.• Strong background in data governance, access controls, RBAC, masking policies, and compliance with HIPAA and PCI regulations.• Designed cost-optimized cloud architectures leveraging auto-scaling, warehouse suspension, and efficient storage strategies.• Experienced in predictive analytics enablement, providing clean, curated datasets for downstream BI and ML applications.• Specialized in translating complex business and regulatory requirements into scalable data architectures and governed data products.• Proven ability to modernize legacy data ecosystems by incrementally migrating monolithic ETL systems into cloud-native, modular pipelines.• Delivered end-to-end data modeling solutions with Star and Snowflake schemas, semantic layers, and materialized views.• Partnered with business and analytics teams to translate complex financial and healthcare requirements into actionable data solutions.• Implemented CI/CD pipelines for cloud data platforms using Git, Terraform, Azure DevOps, and automated deployment scripts.• Optimized Spark and Snowflake workloads for performance, parallelism, and cost-efficiency across multi-terabyte datasets.• Built graph-based data solutions with Neo4j for entity relationships, network insights, and compliance analytics.• Strong problem-solving skills in troubleshooting production data pipelines, ensuring minimal downtime and SLA adherence.• Mentored junior engineers and drove team adoption of cloud-first, secure, and standardized data engineering practices.
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