Ramesh Karthik N
Data Engineer @Access Healthcare
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WORK HISTORY
Data Engineer @Access Healthcare
US
Developed data ingestion frameworks using Amazon Kinesis and Lambda, enabling near real – time streaming of patient data and billing records with sub – 5 second latency.• Designed and implemented end – to – end pipelines using AWS Glue, S3 and Athena, resulting in a 40% improvement in data processing speed for healthcare claims data.• Built scalable data lakes using Amazon S3 and partitioning strategies to manage over 10TB of structured and semi structured data, reducing storage costs by 25%. • Utilized Amazon Redshift for warehousing and optimized complex queries, improving report generation times by 50% for finance and operations teams.• Integrated AWS CloudWatch and SNS for proactive monitoring and alerting across data pipelines, achieving 99.9% uptime and reducing incident response by 70%.
EDUCATION
University of North Texas
Master's degree, Computer and Information Sciences, General
Hindustan University
Bachelor's degree, Computer Science
ABOUT RAMESH KARTHIK N
Data Engineer | Python, PySpark, Scala, Java | SQL, dbt | Snowflake, Databricks | Hadoop, Spark | Airflow | AWS (EKS Glue, S3, RedShift), Azure (ADF, Azure Synapse Analytics) | ETL/ELT | Tableau, Power BI
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