Data Platform Architecture for Startups

Enterprise-grade data architecture. Built for startup speed.

I've architected data platforms trusted by a global investment bank and 250+ retail locations worldwide. Now I bring that same rigor — without the enterprise overhead — to startups building their data foundation for the first time.

AWS dbt Airflow Data Vault Dimensional Modeling Data Observability
Track Record
  • 7+ yrsDesigning data platforms across fintech, retail & e-commerce
  • 250+Global retail locations consolidated onto one analytics platform
  • 80%Reduction in manual reporting effort for a global finance team
  • 1Data Product Factory built for a top U.S. investment bank
Architecture experience across
Investment Banking Global Retail E-commerce & Marketplaces Financial Services
The Question

Why should a startup trust Mudit to design their data platform?

Because he's already made the expensive mistakes — at a bank, not at your company. Startups can't afford a data platform that has to be rebuilt in eighteen months. Here's what that trust is built on.

01

Proven at enterprise scale

Architecture patterns battle-tested on a global investment bank's data platform and 250+ retail locations — not theory, production systems handling real business decisions.

02

Architecture-first, not tool-first

Designs for where your company will be in three years, not just what closes this sprint. No trendy tools bolted on without a reason.

03

Data quality, built in from day one

Observability and trust aren't an afterthought. Testing, monitoring, and data contracts get designed alongside the pipelines — not retrofitted after a dashboard breaks.

04

Fractional, not a $200K+ hire

Get architect-level thinking on the cadence your startup actually needs, before you're ready — or able — to make a full-time senior hire.

How I Can Help

Five ways to get your data platform right

From a fast diagnostic to hands-on fractional architecture, pick the engagement that matches where your platform is today.

01

Data Platform Health Check

A fast, no-fluff diagnostic of your current stack — what's fragile, duplicated, or about to break.

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02

Fractional Data Platform Architect

Ongoing architecture decisions, design reviews, and mentorship — without a full-time salary.

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03

Data Platform Blueprint

A target-state architecture plan you can build on for the next three years, not just this quarter.

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04

Data Quality & Observability Audit

Know when your data breaks — before your stakeholders do. Testing, monitoring, and ownership review.

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05

ELT/dbt Architecture Review

Is your dbt project a scalable asset or accumulating debt? A structural review with prioritized fixes.

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Not sure which one you need?

Most engagements start with a short conversation. Tell me where it hurts and I'll point you to the right starting place.

Start a conversation →
Proof, Not Promises

Recent work

A sample of the platforms behind those numbers.

Data Product Factory for a Global Investment Bank

Architected a cloud-native data product factory on AWS, standardizing analytics onboarding across Commercial & Investment Banking functions.

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Financial Analytics Across 250+ Retail Locations

Consolidated global budget and sales reporting for Travelex, cutting manual reporting effort by 80%.

Read the case study →

Unified E-commerce Analytics

Built reusable dbt + Airflow pipelines unifying sales and inventory data across Amazon, Flipkart, Nykaa & Unicommerce.

Read the case study →

Not sure where to start?

Get a free 30-minute data platform review — bring your messiest pipeline question.