Prathyusha Buduru
@prathyushabuduru
I build reliable data pipelines, dashboards, and validated reporting datasets.
What I'm looking for
At Deloitte, I cleaned and validated operational datasets of more than 50,000 records, reducing inconsistencies by up to 40%. I also automated Python ETL workflows with AWS Glue, Step Functions, and Lambda, cutting manual effort by 40%.
I build Power BI dashboards and SQL-driven reports that make complex findings clear for stakeholders. My work includes optimizing Oracle and Snowflake queries, troubleshooting ETL pipelines in Azure Databricks and AWS, and supporting secure hospital SaaS integrations involving PHI and HIPAA practices.
I’ve also developed Python-based machine learning and document-intelligence projects, including churn prediction, housing affordability visualization, and a retrieval-augmented generation system for policy documents.
Experience
Work history, roles, and key accomplishments
Cleaned and validated operational datasets exceeding 50,000 records using SQL, improving data accuracy and reducing inconsistencies by up to 40% through detailed reconciliation processes. Automated ETL workflows in Python, integrating AWS Glue, Step Functions, and Lambda to streamline data extraction and transformation, reducing manual effort by 40%.
Education
Degrees, certifications, and relevant coursework
Saint Louis University
Master of Science, Analytics
2025 -
Grade: 3.87
Pursuing a Master of Science in Analytics with a CGPA of 3.87.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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