Aishwarya Sinhasane
Software Developer | Actively Looking for Full-Time Opportunities
- Role
- Software Developer at The Research Foundation for SUNY
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Aishwarya Sinhasane
With a Master\'s in Computer Science from Indiana University Bloomington and a Bachelor\'s…
Experience
Software Developer
The Research Foundation for SUNY
Oct 2023 — Present · Stony Brook, NY, US
Scaled EHR-to-OHDSI CDM mapping using Apache Spark, transforming raw EHR extracts into Prepared Source Format (PSF), staging data and OHDSI vocabulary files as Parquet, and mapping to OHDSI CDM with additional provenance-tracking fields. Registered outputs as Delta tables for ACID transactions and analytics or ingested directly into OHDSI CDM databases. Optimized for distributed execution, automated data quality checks, and deployed on Spark-on-Kubernetes for dynamic scaling and high availability.• Designed a fault-tolerant batch pipeline to process 50M+ HL7 messages via Java Spring Boot, orchestrated with Airflow, validated, and indexed into Elasticsearch with ILM policies; integrated LLM-based cancer classification and Kibana dashboards for real-time monitoring.• Built a Delta Lake–based warehouse integrating ~5M records from HealthIntent and HL7 sources; implemented partitioning, Z-Order optimization, and data contracts with schema drift alerts for high-performance analytics on patient demographics, imaging, and clinical notes. Developed PySpark ingestion pipelines to transform unstructured pathology reports into structured datasets; applied automated DQ testing, stored outputs in Iceberg format for schema evolution, and optimized storage via compaction and partition pruning.• Engineered a HIPAA-compliant Azure PySpark pipeline for patient growth metrics, using containerized workloads, executor auto-scaling, and column-level masking; delivered Parquet outputs with tuned Spark performance for large-scale longitudinal data.
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