Prashis Shrestha

I build ETL and data ingestion pipelines for healthcare and multi-cloud analytics, from PySpark Data Ingestion frameworks to Hadoop-based batch processing. At Change Healthcare, I optimized large-scale Medicare, Medicaid, and commercial datasets to support advanced analytics.

I’ve led near real-time ingestion with Spark Streaming, wiring Spark to Flink, Kafka, AWS Kinesis, and APIs for low-latency processing and real-time analytics. I also deploy Spark applications with Docker and Kubernetes, and automate infrastructure and workflows using Terraform, AWS Step Functions, and Apache Airflow DAGs.

I migrate and modernize data platforms across environments—moving on-premises SQL Server, Oracle, and MongoDB into Azure Data Lake with Azure Data Factory, SQL Azure, SSIS, and PowerShell, and running Spark on AWS EMR with S3 and Redshift. I’ve standardized transformations with DBT, including schema design work using star and snowflake models.

Earlier, at PNC Bank and Goldman Sachs, I engineered Spark/Hadoop ETL with medallion (Bronze/Silver/Gold) layers, configured Kafka for streaming pipelines, and delivered BI reporting in Tableau and Power BI. I’ve also supported NLP-driven work with Generative AI and LLMs for healthcare text tasks, and supervised 3+ engineers to keep timelines and quality on track.