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ASHISHDR.BALARAMJAYASPRAHARSHASUBIGYA
Jayas Piya

Advisor

Jayas Piya

Data & Platform

Guides the data layer — pipelines and reporting you can trace back to source, built from healthcare-grade practice.

What I actually do here

I advise on how data moves through a system: what gets stored, what gets derived, and how to keep a report traceable back to where the number came from.

Tools

PythonPySparkDatabricksSnowflakedbtSQL / PL-SQLTableauStreamlit

Principles

— A pipeline should be boring. Boring is what makes it trustworthy.

— If a report can't be traced to source, it's not a report — it's a guess.

Jayas is a data engineer with experience building scalable healthcare data platforms using Databricks, PySpark, Snowflake, SQL, and modern ETL practices. He builds the pipelines that turn scattered clinical data into reports people actually trust.

Across roles at Abacus Insights Nepal and Techkraft Inc, he has worked on FHIR-based ingestion systems, predictive healthcare models, warehouse-oriented reporting, and query performance improvements. That background makes him especially strong at designing the unseen infrastructure that keeps modern digital products dependable.

The stack, honestly

What he'd choose, what he'd avoid, and why.

Would choose

Postgres — boring, correct, and everyone can hire for it
dbt — makes transformations reviewable, not buried in a script
Metabase — a clinician can open it without training

Would avoid

Bespoke BI dashboards — expensive to maintain, cheap to demo
NoSQL for transactional data — healthcare data needs the guarantees SQL gives for free

Selected work

Deployments touched.

Healthcare and Dental Operations

Central Dental Assistance

In build

A dental operations platform, in build, that brings assistance workflows, internal coordination, and daily clinical support into one system.

View case study

Guides

Writing from this member.

Software Development

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Law firm software should support case visibility, document workflows, and internal coordination instead of adding more operational friction.

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AI Systems

Smart Home AI Research: Making Automation More Useful

Smart home AI research becomes more valuable when it focuses on usable automation, coordination logic, and everyday reliability.

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Get in touch

Let's build something precise.

Based in Kathmandu, Nepal.

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