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Suyogya UserSU
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Suyogya User

@suyogyauser

Senior Data Engineer at Elevance Health building Azure healthcare data platforms and a governed RAG search solution.

United States
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At Elevance Health, I modernize healthcare data platforms and built a Medallion Lakehouse supporting claims, membership, provider, clinical, and financial analytics. I also developed a governed RAG-based search solution for approved enterprise documentation.

At Pfizer, I developed AWS pipelines for clinical, commercial, manufacturing, and supply-chain data, with curated analytical datasets supporting operations and reporting. At Fidelity Investments, I built Spark and PySpark pipelines for financial data and supported modernization of legacy Hive and MapReduce workloads.

I began this experience as an ETL Developer at Goldman Sachs, developing and maintaining pipelines for financial datasets and assisting with Spark and Hive performance optimization. My certifications include Databricks, AWS, Azure Data Engineering, and Azure AI Engineering.

Experience

Work history, roles, and key accomplishments

EH
Current

Senior Data Engineer

Elevance Health

Nov 2024 - Present (1 year 11 months)

Architected and modernized enterprise healthcare data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, and Azure Synapse Analytics. Developed reusable ingestion frameworks, engineered large-scale PySpark workloads, and implemented a Medallion Lakehouse Architecture.

PF

Data Engineer

Pfizer

May 2022 - Sep 2024 (2 years 4 months)

Designed and developed scalable AWS-based ETL/ELT pipelines using AWS Glue, Amazon S3, Python, SQL, and PySpark to ingest and process clinical, commercial, manufacturing, supply-chain, and pharmaceutical datasets. Implemented an S3-based Medallion data lake and built curated analytical datasets in Amazon Redshift.

FI

Data Engineer

Fidelity Investments

Mar 2020 - Apr 2022 (2 years 1 month)

Developed scalable data pipelines using Python, SQL, PySpark, Apache Spark, Hadoop, Hive, and Kafka to ingest and process high-volume customer, account, transaction, investment, portfolio, pricing, and reference datasets. Engineered Spark and PySpark transformations for cleansing, standardization, deduplication, enrichment, and aggregation.

GS

ETL Developer

Goldman Sachs

Jul 2018 - Feb 2020 (1 year 7 months)

Developed and maintained high-volume ETL pipelines using SQL, Python, PySpark, Hadoop, Hive, and shell scripting to process financial transactions, securities, positions, pricing, reference, and market data. Built ingestion workflows from Oracle, SQL Server, market-data feeds, APIs, and flat files.

Education

Degrees, certifications, and relevant coursework

University of Texas at Arlington logoUA

University of Texas at Arlington

Bachelor of Science, Information Systems

Bachelor of Science in Information Systems from the University of Texas at Arlington.

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