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Sravya UserSU
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Sravya User

@sravyauser3

Data Engineer at Global One Bank building AWS Lakehouse pipelines and retrieval-ready data for RAG applications.

United States
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At Global One Bank, I engineer cloud data pipelines and Lakehouse solutions on AWS, preparing analytics-ready and model-ready datasets with Python, Spark, and Delta Lake.

I support Generative AI, RAG, and Agentic AI use cases through document ingestion and transformation workflows, including metadata enrichment, text chunking, embeddings, and retrieval-ready datasets.

Previously, I built data pipelines at Maestro Health and Western National Insurance, including Azure Databricks ingestion and Lakehouse workflows. At WelcomeHome Software, I developed Python-based ingestion, validation, and transformation solutions for enterprise data.

Experience

Work history, roles, and key accomplishments

GB
Current

Data Engineer

Global One Bank

Aug 2025 - Present (1 year 2 months)

Engineered scalable data processing pipelines using Python, SQL, Apache Spark, and PySpark on AWS EMR, processing multi-terabyte datasets. Developed event-driven workflows with AWS Lambda and Step Functions, and built enterprise data warehouse solutions on Amazon Redshift and MySQL.

WI

Data Engineer

Western National Insurance

Jun 2022 - Dec 2023 (1 year 6 months)

Developed scalable ETL pipelines with Python, Apache Spark, and PySpark, and orchestrated batch ingestion using Azure Data Factory and Azure DevOps. Built lakehouse platforms with Azure Data Lake Storage and Databricks, and configured Delta Live Tables for data quality.

Education

Degrees, certifications, and relevant coursework

KU

Kennesaw State University

Master of Science, Information Technology

Master of Science in Information Technology from Kennesaw State University.

Availability

Looking for a job

Location

United States

Authorized to work in

Salary expectations

125k+ USD

Job categories

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