About Me

Hello, I'm Sneh.

A data engineer with 10+ years of experience architecting cross-cloud systems that don't just move data they move the needle. From fintech to e-commerce to IT services, I've built pipelines that hum across time zones and tech stacks, real-time or batch, streaming or static ; whatever the mission demands.

My toolbox? Spark, Flink, Kafka, Hadoop, Airflow ; fluent in Java, Scala, Python, and Golang. But tools don't define me. I am framework and platform-agnostic, ruthless about solving the right problem with the right tool, and curious enough to rip apart the wrong ones just to see what breaks. I've engineered cross-language, cross-cloud (AWS, Azure, GCP) data pipelines that scale, speak across silos, and play nice with chaos.

I got my start at Infosys Labs, not writing code :: but teaching it. That mindset of spreading knowledge still drives how I approach architecture today: with clarity, structure, and a taste for untangling messy logic into elegant systems. I like wrestling with volume, variety, and veracity :: the three Vs that separate hobby scripts from real-world infrastructure.

Outside of code, I'm a swimmer since the age of 3, a seeker of offbeat paths (digital and literal), and a philosopher at heart :: always questioning systems, stories, and sometimes, reality itself. I published a paper on MapReduce back in 2014, before "big data" had a marketing budget :: and I've been chasing scale, nuance, and performance ever since.