Orpita Das · Data Engineer
Orpita Das

Orpita Das

Data Engineer, ex-Snowflake. I build data pipelines that keep working when the world doesn't — and lately I build them with AI.

Ex-Snowflake Data Engineer SnowPro Core 2023–2025 M.Sc. UBC B.Tech NIT Warangal Canadian citizen · Indian OCI Pune

What I'm good at, and where to check

01Resilient pipelines
Noëtone turned a 388-page scanned book into audio through three power cuts without losing a page, on a free API tier of three calls a minute. Before that: 20+ ingestion sources at Snowflake, and SOX-compliance monitoring that replaced 100+ manual audit hours a quarter.
02AI infrastructure for grassroots welfare
Founded catadoption_pune in 2024. Around 120 street cats rehomed, a public site and adoption board built and live, near-daily posting sustained for two years, a six-week intern curriculum designed. Taught a general-purpose AI the realities of grassroots Indian animal welfare — and kept a human deciding.
03Range
Snowflake in Pune, a genomics startup in Bengaluru, a machine-learning internship at Waterloo, research at UBC and UofT, a biotech startup in Vancouver. Two countries, industry and academia, wet lab to warehouse.
04The stack now
Claude Code, Gemini API, OpenRouter, DuckDB, Flask, GitHub Actions — on top of the proven set: Snowflake, AWS Lambda and API Gateway, SQL, Python, Airflow, Fivetran.
05Context engineering
AI is good at code. I make prose work for me. A document system that keeps a dozen parallel AI sessions consistent across folders; a shelf map with a script that checks every document's tags against it; a six-week curriculum written as prompts a non-developer can run; reusable procedure files the model executes.

Noëtone — see it working

Built in 3 days · hardened over months of daily use

Gold Independently assessed on the Kanz AI Portfolio — certificate KANZ-ADV-1601. “Resilient AI Pipeline: turning scans and handwriting into audiobooks.”

What that means: awarded from 3,500 submissions to the July 2026 Kanz hackathon, judged on originality (20%), technical depth (30%), impact (30%) and presentation (20%) — 60% of the score on depth and impact.

Day 1Working prototype
Days 2–3Edge cases, testing, making it shippable
SincePer-page commits so a job resumes instead of restarting; error classification that tells a quota from a rate limit; a circuit breaker; every audio file checked before it is stored

Built solo. Architecture and priorities mine, implementation AI-accelerated. The OCR prompt is a config parameter: other readers narrate a chart's broken axis labels; this one says “the chart shows a declining trend”, because the prompt told it to.

catadoption_pune — the pipeline behind the board

Founded 2024 · Pune · Instagram-first

Three years of Instagram DMs, turned into a live adoption board.

Rescuers send me kittens by DM — photos, an age, a phone number, buried in a thread among thousands. That pile is now a pipeline. Here is the whole of it:

Instagram DMs3 years of rescuer messages
→
Export → DriveMeta's scheduled export, landing on its own
→
JSONL + DuckDBParsed, deduped, queryable in seconds
→
LLM judgementClaude reads each candidate and its photos
→
A human says goEvery listing. No exceptions.
→
Live boardPublished to the public site

The yellow box is the design decision. The model never publishes — it prepares a case and a human approves it. Automation that can act on its own is automation you have to supervise forever, which is not a saving. I built it to run once, without me, and it published something it shouldn't have; the gate is what came out of that.

~24,000messages ingested
~2,450conversations
3 yearsrebuilt from scratch in seconds
See the board it produces →

Built with Claude — the pipeline, the judgement stage and this page. I decide what it should do and check what it did.

Things I've built

Receipts to a ledger

mindful-spend

Turn a payment screenshot into a categorised expense, with a dashboard over the result. Your spending data never leaves your machine.

Flask · Gemini Vision · Plotly · CSV

github.com/odas/mindful-spend ↗

Interview prep that keeps score

Skill Refresh

A quiz and spaced-repetition app for technical-interview prep. Questions adapt as you improve; progress is tracked. Built in three days, live on Render.

Python · Streamlit · Gemini

Open the app ↗

Wall art that's actually useful

Kobo Sky Dashboard

A live night-sky map — stars, planets, moon phase, weather and AQI for Pune — rendered as one page for an old Kobo e-reader mounted on a wall. Runs on the home network, no API keys.

Flask · PyEphem · SVG

github.com/odas/sky-kobo-dashboard ↗

Building next 🧬 NCBI Taxonomy Explorer — ask “which genus has the most species named after people?” in plain English, over the public taxonomy database.

Background

2026–now

Independent developer — Noëtone

Pune

A document-to-audio pipeline on a free API tier, rated GOLD out of 3,500 in the 2026 Kanz Build-with-AI hackathon.

2024–now

Founder — catadoption_pune

Pune

A data-driven cat-adoption initiative on Instagram: ~120 street and Indie cats rehomed; the DM pipeline and public board above.

Jul–Dec 2023

Cloud Engineer

Algorithmic Biologics, Bengaluru

Cut storage cost ~50% (EBS→S3); a reusable EC2 toolkit for the team's genomics jobs; deployed a gene-expression app to AWS. AWS, GCP, Julia, Python, Docker.

2020–2023

Data Engineer

Snowflake, Pune

Real-time SOX-compliance monitoring built with Internal Audit, saving 100+ manual audit hours a quarter; 20+ ELT pipelines (GitHub GraphQL, ServiceNow, Salesforce, Okta and more); seven external talks including IIA San Jose. Among the Pune office's first hires.

2020

Machine Learning Intern

University of Waterloo

Ensemble QSAR model over protein features, Bayesian tuning, Dask.

2016–2019

Research, teaching and lab roles

UBC · UofT · Natural Resources Canada · Stem Shock (Vancouver biotech startup)

Conifer cold-tolerance proteins; a programmable RNAi herbicide at an early-stage startup; a computational-biology project on microbial SNPs.

education

M.Sc., Plant Molecular Biology — UBC (degree conferred in Botany) · B.Tech, Biotechnology — NIT Warangal

SnowPro Core, Snowflake, 2023–2025

Hiring for a data or AI-tooling role?

The résumé is the short version and the repos are the long one. I'm in Pune, open to Bengaluru, and I answer email.