ABOUT MITRA

A technical consultancy built around reliable delivery.

Mitra Data is an founder-led data engineering and modernization consultancy. We focus on concrete problems, clear communication, and systems that remain maintainable after delivery.

SSENGINEER / FOUNDER

Sagun Shrestha

Founder & Data Engineer

THE PERSON BEHIND THE WORK

Hands-on experience.
Personal accountability.

I’m Sagun, a data engineer with a background in Manufacturing Systems Engineering, graduate education in Data Science, and professional experience building and operating modern data systems.

My technical experience includes cloud data engineering, Python, SQL, Spark, Databricks, Snowflake, Azure, APIs, and data-quality automation. Mitra brings that practical engineering focus to organizations that need dependable pipelines and clearer operational visibility.

That combination shapes my interest in manufacturing and operational data: how systems connect, how processes are measured, and where reliable information can make work easier. I lead discovery, architecture, client communication, and delivery quality. Additional approved engineers and specialists may support an engagement when its scope calls for them.

The name Mitra is personal to me. It comes from my father’s name.

OUR OPERATING PHILOSOPHY

Good engineering includes the handover.

Founder accountability

Sagun leads discovery, architecture, client communication, technical direction, and delivery quality.

Reliability first

Build workflows that are supportable, observable, and easier to recover when something changes.

Your environment. Your control.

Where practical, work stays inside your cloud account, with clear access boundaries.

A bounded place to start

Begin with a defined assessment or project, with clear scope and practical next steps.

RESPONSIBLE BY DESIGN

Your data stays
under your control.

Our approach favors your cloud account or dedicated environment, with access and operational responsibilities agreed before work begins.

  • Named accounts, MFA, and least-privilege access
  • Managed secrets and private repositories
  • No unnecessary local copies of your data
  • Clear change review and controlled deployments
  • Documented runbooks, logging, and monitoring
  • Environment separation and clear access offboarding
PythonSQLApache SparkDatabricksSnowflakeMicrosoft Azure

LET’S MAKE YOUR DATA DEPENDABLE

Have a data challenge
worth solving?

Let’s start with the problem, the systems involved,
and what a successful first engagement looks like.