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Rakshya Raut

@rakshyaraut

Data Engineer at Elevance Health building hybrid-cloud healthcare data platforms and modernizing MapReduce workloads to Spark.

United States

Message

At Elevance Health, I architected a hybrid-cloud healthcare data platform that brings claims, member, provider, and clinical data into governed Databricks and Snowflake environments. I also modernized legacy MapReduce workloads to Apache Spark, reducing processing time by approximately 60%.

At Wells Fargo and Western Union, I developed data pipelines and models for financial and transaction analytics, improving query and batch-processing performance. Earlier, at Target, I assisted with SQL Server and Oracle database administration; I hold AWS, Databricks, Snowflake, and Google Cloud data engineering certifications.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Scientist/Engineer

Current

Elevance Health

Nov 2024 - Present (1 year 11 months)

Architected a hybrid-cloud healthcare data platform and designed end-to-end ETL/ELT pipelines using Python, SQL, PySpark, Azure Data Factory, Databricks, and Snowflake. Modernized legacy MapReduce workloads to Apache Spark, reducing processing time by approximately 60%.

Data Engineer

Wells Fargo

Apr 2022 - Oct 2024 (2 years 6 months)

Developed and maintained scalable ETL/ELT pipelines using Python, SQL, PySpark, and Apache Spark to integrate financial data for enterprise analytics. Designed and optimized BigQuery data models, improving query performance by approximately 42%.

Python SQL PySpark Apache Spark GCP BigQuery Dataflow Dataproc Cloud Composer Airflow Kafka Spark Streaming Pub Sub AWS RedShift Tableau Terraform Git CI CD Data Quality Data Governance

Data Engineer

Western Union

Oct 2020 - Mar 2022 (1 year 5 months)

Developed and maintained ETL pipelines using Python, SQL, Apache Spark, and PySpark to ingest, cleanse, and transform financial transaction and customer data. Improved recurring batch-processing performance by approximately 30% through partitioning and transformation optimization.

Python SQL Apache Spark PySpark S3 AWS Data Pipeline AWS Lambda API Gateway Snowflake Airflow Kafka Spark Streaming Power BI Data Quality Reconciliations

Database Administrator

Target

Mar 2019 - Aug 2020 (1 year 5 months)

Assisted with day-to-day administration and monitoring of SQL Server and Oracle databases supporting retail and business applications. Wrote and maintained SQL queries, stored procedures, views, and basic database scripts for operational and reporting requirements.