sheetal prasai
@sheetalprasai
Senior Data Engineer building scalable Azure and enterprise data platforms for healthcare, banking, and analytics.
What I'm looking for
I’ve built and optimized ETL/ELT pipelines and enterprise data platforms at JPMorgan Chase, Kaiser Permanente, and Home Depot—connecting internal and external sources into reliable analytics. At JPMorgan, I designed near real-time pipelines, standardized identifiers and reference data, and improved reliability by monitoring and tuning 100+ production workflows.
At Kaiser Permanente, I unified healthcare encounter, claims, pharmacy, member, provider, and lab data using Azure Data Factory and Azure Synapse Analytics, supporting 40+ downstream reports. I’ve also focused on data quality and governance—metadata, lineage, and compliance (HIPAA/GDPR/SOC 2/PCI DSS)—while translating data requirements into modern architectures.
Experience
Work history, roles, and key accomplishments
Designed and built scalable ETL/ELT data pipelines processing 1B+ records daily for banking systems. Reduced onboarding time by 35% and improved data quality through automated validation.
Built enterprise Azure data platform for healthcare data, onboarding 15+ feeds and processing 6 TB monthly. Improved data quality SLA to 99.5% and reduced job runtimes by 20%.
Built GCP-based batch data pipelines for retail data ingestion and transformation. Developed data models in BigQuery and supported reporting with Looker and Tableau.
Education
Degrees, certifications, and relevant coursework
Indiana State University
Master of Science, Computer Science
Master's in Computer Science from Indiana State University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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