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Aradhya Tare

@aradhyatare

Data Engineer at Persistent Systems Limited who migrated healthcare data to PCORnet CDM v7.0 and cut Spark processing time 50%.

India

Message

At Persistent Systems Limited, I migrated healthcare data schemas from PCORnet CDM v6.1 to v7.0 across five partner sites. I also led the migration from Hadoop MapReduce to Apache Spark, reducing average job processing time by 50% and cluster compute costs by 30%.

Earlier, I developed ETL workflows and data warehouse solutions for healthcare data, including applying Datavant hashing and tokenization to patient records for HIPAA compliance. I also developed serverless APIs and automated data processing with AWS services, and explored genomic sequencing datasets to improve data quality metrics.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Engineer

Current

Persistent Systems Limited

Apr 2025 - Present (1 year 6 months)

Spearheaded migration of data schema from PCORnet CDM v6.1 to v7.0 across 5 partner sites. Architected migration from Hadoop MapReduce to Apache Spark with AWS Glue, cutting job processing time by 50% and compute costs by 30%.

PCORnet CDM Apache Spark AWS Glue Hadoop Jenkins CI CD Data Migration Data Interoperability

Senior Software Engineer

Persistent Systems Limited

Apr 2024 - Apr 2025 (1 year)

Developed and maintained ETL workflows using Sqoop, Spark, and AWS Glue, ingesting over 1TB of data monthly. Implemented data governance with Datavant hashing and tokenization for HIPAA compliance.

ETL Sqoop Apache Spark AWS Glue SQL Server Data Warehouse Datavant HIPAA Data Governance SNS

Software Engineer

Persistent Systems Limited

Sep 2021 - Apr 2024 (2 years 7 months)

Developed and deployed 15+ serverless back-end APIs using AWS Lambda and API Gateway. Built a cloud-native automation framework using AWS Step Functions, SNS, and EventBridge, reducing manual effort by 20 hours per week.