Shristi D.
Cloud Data & AI Architect | GCP Data Platforms | SAP Data Modernization | Governance & DataOps | GenAI (RAG)
- Role
- Bi Data Architect at Novocure
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Shristi D.
I build cloud data platforms that hold up in production: secure access, reliable pipelines, and analytics people can trust. Over 10 years across consulting and healthcare/medtech, I have designed governed data products on Google Cloud, modernized enterprise data estates (including SAP-heavy landscapes), and driven DataOps practices that keep reporting and data services reliable and cost-aware.A theme across my work is building data systems that ultimately serve real people. In healthcare, that means enabling faster, more confident decisions through trustworthy data, while keeping privacy, auditability, and access controls non-negotiable. I have worked across high-volume device telemetry, real-world evidence pipelines, and HL7 FHIR standards to make complex data usable without losing rigor.Lately I’m focused on GenAI for data products, especially RAG and multimodal search, to make knowledge and metrics easier to find, safer to use, and easier to operate with strong governance, metadata, and lineage.If you are building cloud data platforms, modernizing SAP analytics, or bringing GenAI into regulated data environments, I’m always up for a thoughtful conversation.“In God we trust. All others must bring data.” - W. Edwards Deming
Experience
Bi Data Architect
Jul 2024 — Present · Seattle, WA, US
Delivered award-winning platform impact: enabled trusted device-data analytics that informed a major decision and helped avoid a trial with reported ~$8M savings, earning a team impact award and executive acknowledgement- Owned core GCP data lake assets end-to-end, defining secure-by-design standards, reusable patterns, and operational maturity across pipelines and shared datasets- Built enterprise access governance for analytics data products: policy-based controls plus automated audit visibility into access, aging, and usage- Automated governance reporting using Terraform + Docker, reducing manual oversight and improving traceability across users, groups, policies, and assets- Architected and operated high-volume ingestion/replication for telemetry-scale datasets (millions of files) with retries, backfills, observability, and SLA-driven controls- Improved reliability and performance of critical integration pipelines, cutting runtimes from 6- 8 hours to ~0.5- 2 hours, and delivered near real-time outputs via a reusable Cloud Run ingestion framework; built regulated-grade assets including TB-scale RWE and an HL7 FHIR adapter.
Education
UpGrad
upGrad Pro Hacking Challenge Winners
Shaheed Rajpal DAV Public School - India
Intermediate, Science
International Institute of Information Technology Bangalore
Post Graduate Diploma, Data Science
PES University
Bachelor's Of Engineering, Computer Science
Skills
- Powerpoint
- C
- Programming
- C++
- Javascript
- Css
- Dance
- Team Management
- Html
- Microsoft Office
- Python
- Sql
- Linux
- Java
- Mysql
- Databases
- Leadership
- Php
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