
SRIKANTH SARIPUDI
@srikanthsaripudi
I build healthcare and financial data pipelines, cloud warehouses, and BI dashboards that accelerate reliable decisions.
What I'm looking for
At Kettering Health, I architect SSIS pipelines that integrate Epic Clarity, Lawson ERP, and Cerner EHR data for 2M+ patient records daily. I improve healthcare analytics performance, automate reconciliation, and publish Power BI and SSRS reporting for clinical, financial, and operational teams.
Previously at Capgemini, I migrated 50+ TB of data to Snowflake for Reyes Beverage, Coca-Cola Bottling, and Reyes Holdings, while building scalable data models and executive dashboards for 200+ users. I also developed a Python and OpenAI-powered anomaly root-cause solution that reduced manual investigation time from four hours to under 30 minutes.
My background also includes regulatory and risk analytics at DBS Bank, where I automated banking ETL, optimized critical SQL workloads, and delivered Basel III, AML, and KYC reporting. I bring hands-on SQL, Python, Azure, Snowflake, ETL, data modeling, governance, and visualization experience to data-driven organizations.
Experience
Work history, roles, and key accomplishments
Senior Data Analyst
Kettering Health
Jan 2024 - Present (2 years 8 months)
Architected and deployed production-grade SSIS ETL pipelines integrating Epic Clarity, Lawson ERP, and Cerner EHR into a centralized SQL Server data warehouse, processing 2M+ patient records daily with 99.9% data accuracy. Achieved 40% query performance improvement and automated data reconciliation, reducing manual effort by 30%.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Data Science
Master of Science in Data Science from the University of North Texas.
Sathyabama Institute of Science & Technology
Bachelor of Engineering, Mechanical Engineering
Bachelor of Engineering in Mechanical Engineering from Sathyabama Institute of Science & Technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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