Designed and implemented scalable ETL data pipelines following the Medallion architecture using SQL and
Python.
• Ingested and processed real-time and batch data from diverse source formats including FHIR, XML, CSV,
Exce…
Designed and implemented scalable ETL data pipelines following the Medallion architecture using SQL and
Python.
• Ingested and processed real-time and batch data from diverse source formats including FHIR, XML, CSV,
Excel, and Parquet and handled data of different types like claims,clinical,Pharmacy,Payer Reports
• Performed data cleaning, transformation, preprocessing and debugging across Bronze, Silver, and Gold layers
to ensure high data integrity and consistency.
• Conducted healthcare data analysis and implemented revenue optimization strategies aligned with leadership
recommendations, contributing to business value of $15.5M.
• Delivered and handled Quality(Algorithm) Dashboards and Reports to Clients on monthly basis which help
them in making business decisions
• Integrated curated datasets into Elasticsearch for downstream products, ensuring reliable synchronization and
zero production data issues.
Designed and implemented scalable ETL data pipelines following the Medallion architecture using SQL and Python., Ingested and processed real-time and batch data from diverse source formats including FHIR, XML, CSV, Excel, and Parquet and handled data of different types like claims, clinical, Pharmacy, Payer Reports., Performed data cleaning, transformation, preprocessing and debugging across Bronze, Silver, and Gold layers to ensure high data integrity and consistency., Conducted healthcare data analysis and implemented revenue optimization strategies aligned with leadership recommendations, contributing to business value of $15.5M., Delivered and handled Quality(Algorithm) Dashboards and Reports to Clients on monthly basis which help them in making business decisions., Integrated curated datasets into Elasticsearch for downstream products, ensuring reliable synchronization and zero production data issues.
Assisted around 300+ students with understanding and applying object-oriented programming concepts in coursework.
Conducted 10+ regular sessions to reinforce lecture material.
Clarified complex topics like polymorphism, abstraction, inheritance, and encapsulation.
Designed and implemented scalable ETL data pipelines following the Medallion architecture using SQL and Python.
Ingested and processed real-time and batch data from diverse source formats including FHIR, XML, CSV, Excel, and Parquet.
Handled data of different types like claims, clinical, Pharmacy, and Payer Reports.
Performed data cleaning, transformation, preprocessing and debugging across Bronze, Silver, and Gold layers to ensure high data integrity and consistency.
Conducted healthcare data analysis and implemented revenue optimization strategies aligned with leadership recommendations, contributing to business value of $15.5M.
Delivered and handled Quality(Algorithm) Dashboards and Reports to Clients on monthly basis which help them in making business decisions.
Integrated curated datasets into Elasticsearch for downstream products, ensuring reliable synchronization and zero production data issues.
Worked on the Prisma Health Studies project at Innovaccer, building automated end-to-end healthcare data pipelines across L0–L5 layers. • Automated workflows for extracting and parsing raw healthcare data from FHIR (JSON), XML, CSV, and Excel sources into L0 and curating relevant data into L1. • Applied transformations and automated ingestion of standardized data into Innovaccer’s Unified Data Model (L2). • Implemented analytical logic in L3 to compute cost, risk, quality, and suspect metrics using healthcare business rules. • Enabled client-facing dashboards by feeding curated L2 and L3 datasets into L5 for actionable insights.
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