Gunjan Patel
Senior Software & Data Platform Engineer · Copenhagen
17+ years designing event-driven systems, data pipelines, and cloud platforms that keep complex organisations running — from e-commerce at scale to enterprise data platform engineering.
Core expertise
Data & Platforms
Cloud
Languages
Who am I
લાંબો ડગલો, મૂછો વાંકી,
A long coat, a twirled moustache,
શિરે પાઘડી રાતી,
a red turban on the head,
બોલ બોલતો તોલી તોલી,
every word weighed before it's spoken —
છેલછબીલો ગુજરાતી, હું છેલછબીલો ગુજરાતી.
that's the charming Gujarati — I am that charming Gujarati.
તન છોટું પણ મન મોટું, ખમીરવંતી જાતિ,
small in build, but large of heart — a people full of spirit,
ભલે લાગતો ભોળો પણ હું છેલછબીલો ગુજરાતી.
I may seem simple, but I am the charming Gujarati.
What I do
Design and operate pipelines, ETL flows, and master data systems that keep data clean, consistent, and trustworthy at scale.
Build loosely coupled, real-time systems using cloud-native event streaming — responsive, scalable, and observable.
Apply machine learning where it removes real bottlenecks — classification, enrichment, and intelligent onboarding at scale.
End-to-end Azure and AWS architecture: infrastructure design, security, cost optimisation, and platform reliability.
Connect complex source systems — ERP, CRM, commerce platforms — with robust, maintainable integration patterns.
Keep enterprise platforms healthy: SSO, environment deployments, tooling, monitoring, and operational automation.
Latest
After building a free e-commerce store for my wife's flour shop, I realized the setup was still too complex for others to use. So, I spent the last few months extracting the magic into a one-command CLI framework. Meet Tvashtr.
As a Gujarati, being budget-smart is factory settings. This is the story of how that personality trait, a brother who questions every invoice, and a wife with a flour shop pushed me to build a production e-commerce store for the cost of a domain name.
Years ago, I built a simple pricing system: raw tables in, a stored procedure in the middle, one final table out. Much later I realised I had already built data products, FDPs, DDPs, lineage, and contracts — without knowing the names.
Notes and highlights from travels through Austria and Switzerland — architecture, alpine landscapes, and the art of slowing down.
"The infrastructure nobody sees is the infrastructure everybody depends on."
17 years · Azure · AWS · Data Pipelines · Event-driven Architecture · ML Automation