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Aditya Dhakal

@adityadhakal

Senior Data Engineer at Signify Health building Azure healthcare Lakehouse pipelines that process 1TB+ of data daily.

At Signify Health, I design healthcare data pipelines and Lakehouse architecture with Azure Data Lake Storage Gen2, Azure Databricks, Delta Lake, and Medallion Architecture. My ETL/ELT pipelines process 1TB+ of healthcare data daily, and I built reusable transformation frameworks across 10+ source systems.

Previously, I developed cloud data pipelines for financial and operational data at Citibank, then supported healthcare reporting and data warehouse workflows at The Cigna Group. I also hold Microsoft Azure Data Engineer Associate, Databricks Certified Data Engineer Associate, and Snowflake SnowPro Core certifications.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Signify Health

Sep 2024 - Present (2 years 1 month)

Designed and implemented scalable healthcare data pipelines and Lakehouse architecture using Azure Data Lake Storage Gen2, Azure Databricks, Delta Lake, and Medallion Architecture. Developed high-volume ETL/ELT pipelines processing 1TB+ of healthcare data daily and integrated Generative AI, LLM, and NLP capabilities for medical coding and text extraction.

Data Engineer

Citibank

Jul 2021 - Aug 2024 (3 years 1 month)

Developed scalable ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, AWS Glue, and Azure Data Factory to integrate financial and operational data. Built distributed data-processing workflows with Databricks and Spark SQL, and implemented cloud-based data lake workflows using Amazon S3, Databricks, Delta Lake, and ADLS Gen2.

Analytics Engineer

The Cigna Group

Sep 2019 - May 2021 (1 year 8 months)

Developed and maintained ETL workflows using SQL Server Integration Services (SSIS) to load healthcare claims, pharmacy, enrollment, and member data into enterprise data warehouse environments. Wrote T-SQL queries, stored procedures, views, and functions to transform and prepare healthcare datasets for reporting and downstream analytics.