Open to senior data roles & founding conversations

Building Data, AI & Wealth Products That Scale

Data Engineer and Product Builder passionate about cloud platforms, automation, analytics, and creating real-world software products.

Senior Data Engineer | Cloud Architect | AI Builder | Product Creator · Chennai, India

SA

photo placeholder · 4:5

Shankar Arjunan

engineer × builder × founder

PythonPySparkAirflowSnowflakedbtKafka
$ stack --listPythonPySparkAirflowSnowflakedbtKafkaAWSGCPTerraformClaude

01 · About

From machines to data machines

I started as a mechanical engineer — trained to think in systems, tolerances, and failure modes. Then I discovered that the most interesting machines today are made of data.

I taught myself SQL and Python, switched into data engineering, and never looked back. Today I design multi-terabyte cloud architectures by day — and by night I build products: a wealth operating system for Indian families, a wellness marketplace, and AI tools for engineers.

The thread connecting it all: engineer by profession, builder by passion. I don't stop at pipelines — I ship the whole product.

Data PlatformsCloud SystemsAIWealth TechnologyProduct Building

# a typical week

09:00 design cloud data architecture

13:00 tune Snowflake & dbt models

18:00 mentor data engineers

21:00 ship features on GoldOS

23:00 experiment with local LLMs

# learning never stops · building never stops

02 · Skills

A stack built for shipping

Seven disciplines, one goal: take an idea from raw data to a product people use.

Pipelines that move terabytes without drama.

  • Python95%
  • SQL95%
  • PySpark88%
  • Airflow90%
  • Kafka78%
  • dbt85%

03 · Featured Projects

Products, not portfolios

Real software with real users in mind — from family wealth management to enterprise data platforms.

Wealth Operating System

GoldPlanner / GoldOS

A wealth operating system helping Indian families manage gold investments, savings goals, loans, net worth tracking, and long-term wealth planning.

  • Portfolio Tracking
  • Wealth Dashboard
  • Goal Planning
  • Gold Price Monitoring
  • Family Wealth Management
Next.jsPostgreSQLGCPAI

Wellness Marketplace

TheraBloom

Mobile platform connecting therapists and clients through appointment booking, payments, and wellness services.

  • Booking Engine
  • Razorpay Integration
  • Mobile-first UX
  • Business Dashboard
React NativePostgreSQLRazorpay

Enterprise Data Architecture

5TB Data Pipeline Platform

Designed architecture for moving multi-terabyte datasets from on-prem systems to cloud platforms using Airflow, Snowflake, dbt, Spark, and cloud storage.

  • ETL Orchestration
  • Validation
  • Monitoring
  • Data Quality
AirflowSnowflakedbtSparkAWS

Career Intelligence

AI Interview Coach

AI-powered interview preparation platform for Data Engineers and Cloud professionals — mock interviews with structured feedback and learning paths.

  • Mock Interviews
  • Feedback Engine
  • Learning Paths
  • Career Guidance
Next.jsClaudeOpenAIPostgreSQL

04 · Career Journey

Every pipeline starts with a source

Mechanical engineering taught me systems. Data engineering taught me scale. Building products is teaching me everything else.

  1. 2019

    Mechanical Engineering

    Graduated as a mechanical engineer — learned to think in systems, tolerances, and first principles.

  2. 2020

    Data Analytics Learning

    Self-taught SQL, Python, and analytics nights and weekends. Fell in love with data.

  3. 2021

    Data Engineer

    Made the switch. Built first production pipelines and learned what 'data quality' really costs.

  4. 2022

    Cloud Engineer

    Went deep on AWS and GCP — infrastructure as code, cost-aware architecture, multi-cloud patterns.

  5. 2023

    Senior Data Engineer

    Designed 5TB+ migration architectures, led data initiatives, and started training others.

  6. 2024

    AI Product Builder

    Started shipping AI-powered products — interview coaching, automation, LLM-driven workflows.

  7. Next

    Startup Founder

    Building GoldOS and the wealth-tech stack for Indian families. The next chapter is products.

05 · Founder Mode

What I'm building beyond my career

A job title describes the present. These projects describe where I'm going.

GoldOS

In active build

The operating system for family wealth in India — gold, goals, loans, and net worth in one place.

Wealth Technology

Research & design

A long-term bet: financial infrastructure designed for how Indian families actually save.

AI Products

Shipping

Interview coaching, automation agents, and LLM tooling — shipped as real products, not demos.

Future Startup Vision

The roadmap

Combining data engineering rigor with product instinct to build a venture-scale company.

“Engineer by profession. Builder by passion.”
The goal isn't the next job — it's the next company.

06 · Impact

Numbers that compound

3+

Years Experience

Data & cloud engineering

2

Cloud Platforms

AWS and GCP, production-grade

100+

Hours Training Delivered

Analytics & interview mentoring

5TB+

Data Architectures Designed

On-prem to cloud migrations

3

AI Products Built

From idea to working software

2

SaaS Products Created

Wealth-tech and wellness

07 · Certifications

Credentials, verified

Amazon Web Services

AWS Certified

Cloud Architecture

Google Cloud

GCP Certified

Data Engineering

SnowPro

Snowflake

Data Warehousing

dbt Labs

dbt

Analytics Engineering

Professional Track

Data Engineering

Pipelines & Architecture

// more certifications loading — this section is built to grow

08 · Writing

Notes from the build log

Articles in progress. Topics I'll be writing about, from the trenches.

coming soon

Data Engineering

Pipeline patterns that survive production.

coming soon

Snowflake

Warehouse design and cost optimization.

coming soon

Airflow

Orchestration beyond the tutorial DAG.

coming soon

AI

Building LLM features that ship.

coming soon

Cloud

AWS vs GCP, from someone who runs both.

coming soon

Career Growth

Mechanical engineer to data engineer to founder.

09 · Testimonials

What people will say

Recommendation slots reserved for managers, clients, students, and colleagues.

Reserved for a manager who watched a migration land on time.

Your Manager

Engineering Leadership

Reserved for a client whose data finally made sense.

Your Client

Founder / Stakeholder

Reserved for a student who cracked their data engineering interview.

Your Student

Mentee

10 · Contact

Let's build something meaningful together.

Hiring for a senior data role? Exploring a wealth-tech idea? Need a builder who ships? My inbox is open.