- Problem
- A legacy pipeline took 10–12 hours to process a workflow run, tying up resources and slowing high-volume customer communication.
- My role
- Owned the backend redesign, implementation, operational behavior, and production release path.
- Approach
- Parallelized job execution and queue-based orchestration over a redesigned pipeline, with durable persistence, retries, and monitoring hooks.
- Impact
- Cut a 400K-message workflow from 10–12 hours to ~20 minutes while keeping the user-facing system responsive.
Backend Engineer · Scalable Systems · Data Pipelines
KunjRanpura.
Backend engineer. I design scalable APIs, event-driven services, and high-throughput data pipelines — systems that ingest and process large volumes, stay compliant, and don't page anyone at 3am. Currently owning EU-region delivery at Gallup.
- Currently
- Gallup
- Experience
- 5+ years
- Based in
- Berlin, DE
Engineer who ships. Not just builds — owns.
Five years building production APIs, event-driven services, and high-throughput data pipelines. I modernize systems that ingest and process high-volume, compliance-sensitive workloads — including re-architecting a 400K-message pipeline that ran for 10–12 hours into one that finishes in about twenty minutes.
At Gallup I own EU-region delivery end to end — bi-weekly releases, GDPR-aligned operations, event-driven ETL across Oracle and Salesforce, and a pipeline I rebuilt from scratch that now runs ~30× faster. Mostly Python, FastAPI, and AWS these days, with deep C#/.NET roots. MS Computer Science, UT Arlington. Now Berlin-based, cooking fusion meals and running taste experiments on my wife between deployments.
My family runs a jewellery business back home. It gave me an eye for craft — the kind of attention to detail that doesn't quit when a thing is “good enough.”
By the numbers
What I reach for.
A senior backend toolkit, built over five years of shipping in production. The tools I lean on most are set in ink.
Where I've been.
A route from Pune to Berlin — two degrees, four roles, and a couple of border crossings. Hover a stop for the short version; click to open the full briefing.
Work
Software Engineer II
Gallup — Berlin, DE
- —Re-architected a high-volume async workflow to scrub, transform, queue, and dispatch up to 400K messages in ~20 minutes — replacing a 10–12 hour legacy pipeline via parallelized jobs and queue-based orchestration
- —Designed event-driven integration layers and ETL pipelines syncing data across Oracle, Salesforce, and an internal platform, modernizing the platform without service disruption
- —Built data-lineage tracking for MySQL clusters and legacy pipelines using OpenMetadata and Snowflake, with Python and FastAPI powering ingestion services
- —Implemented AWS delivery-status and bounce-processing workflows (SES, SNS/SQS, EventBridge) for observability, reliability, and sender-reputation control at scale
- —Architected an internal Database Object Deployment platform automating multi-environment deployments and cutting manual release risk
- —Drove decomposition of a monolith into independently deployable, horizontally scalable microservices
- —Maintain GDPR-aligned operations with legal and compliance; mentored 3 interns and 2 junior engineers
Python · FastAPI · C#/.NET · AWS · Terraform · PostgreSQL
- —Re-architected a high-volume async workflow to scrub, transform, queue, and dispatch up to 400K messages in ~20 minutes — replacing a 10–12 hour legacy pipeline via parallelized jobs and queue-based orchestration
- —Designed event-driven integration layers and ETL pipelines syncing data across Oracle, Salesforce, and an internal platform, modernizing the platform without service disruption
- —Built data-lineage tracking for MySQL clusters and legacy pipelines using OpenMetadata and Snowflake, with Python and FastAPI powering ingestion services
- —Implemented AWS delivery-status and bounce-processing workflows (SES, SNS/SQS, EventBridge) for observability, reliability, and sender-reputation control at scale
- —Architected an internal Database Object Deployment platform automating multi-environment deployments and cutting manual release risk
- —Drove decomposition of a monolith into independently deployable, horizontally scalable microservices
- —Maintain GDPR-aligned operations with legal and compliance; mentored 3 interns and 2 junior engineers
Python · FastAPI · C#/.NET · AWS · Terraform · PostgreSQL
Production work, in detail.
Most of my strongest work lives inside company systems. These are public-safe accounts of the problem, the ownership, and the outcome.
The human behind the systems.
A short miscellany — what fills the hours when nothing is on fire.
Sport obsessive
Football, the NBA, and cricket. Being from Pune means cricket was never a choice — it was an obligation.
Fusion cook
Fusion meals are my side project; my wife is the QA. Acceptance criteria: no leftovers. Currently undefeated.
Cinema & TV
Godfather. Scarface. The Sopranos. The Wire. The Office for when I need something lighter.
Gamer
Battlefield and COD to decompress. Nothing clears a tough production incident like a coordinated squad wipe.
Jewellery roots
My family runs a jewellery business in India. It gave me an eye for craftsmanship — in gold and in code.
Dad-joke dept.
Why do programmers prefer dark mode? Because light attracts bugs. I have hundreds more. You’ve been warned.
Let's build
something good.
I build backend systems that ship reliably, scale under load, and stay compliant. If you're solving hard infrastructure or platform problems, I'd like to hear about it.
ranpurakunj@gmail.comBerlin · EU authorized · Available