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UDAY SRIDHAR REDDY BEERAM

@udaysridharreddybeer

I build scalable Azure and AWS data platforms that turn millions of records into trusted analytics.

United States
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What I'm looking for

I'm looking to build scalable, reliable cloud data solutions that improve analytics, data quality, governance, and data-driven decision-making.

At Intuit, I build cloud-native ETL/ELT pipelines that process 25M+ financial records daily, reducing manual preparation by 30% and supporting enterprise analytics.

I architected a Microsoft Fabric and Azure Synapse Lakehouse with Delta Lake and Medallion Architecture, improving data reliability and reducing dashboard refresh latency by 40%. I also tune PySpark and SQL workloads, cutting large-scale query execution from 45 seconds to under 12 seconds.

Previously at Infosys, I engineered Azure-based healthcare data pipelines processing 8M+ records daily and organized 15 TB of data into trusted analytics-ready datasets. My work improved data quality, accelerated reporting, and strengthened validation, reconciliation, and schema enforcement across source systems.

I enjoy turning structured and semi-structured data into reliable datasets, dimensional models, and Power BI reporting that help finance, healthcare, and business teams make data-driven decisions.

Experience

Work history, roles, and key accomplishments

Intuit logoIN
Current

Data Engineer

Jan 2025 - Present (1 year 8 months)

Engineered scalable ETL/ELT pipelines using Azure Data Factory, PySpark, Azure Databricks, and ADLS Gen2 to process 25M+ financial records daily. Architected a cloud-native Lakehouse using Microsoft Fabric and Medallion Architecture, improving data reliability and reducing dashboard refresh latency by 40%.

Education

Degrees, certifications, and relevant coursework

George Mason University logoGU

George Mason University

Master of Science, Data Analytics Engineering

Pursued a Master's degree in Data Analytics Engineering, completing in May 2025.

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