Data Engineer with 4+ years building real-time and batch data platforms at Zepto, Nielsen, and Tredence. I work with Kafka, Flink, PySpark, Databricks, and Azure/AWS — and I've shipped pipelines that run at petabyte scale in production, not just in tutorials. At Zepto, I replaced a 30-minute batch job with sub-minute inventory updates across 1,100+ dark stores using Debezium CDC → Kafka → PyFlink → ClickHouse. At Tredence, I built tooling that generated $200K in revenue and cut client onboarding time by 25%. I've mentored 8+ engineers and hold certifications in Databricks (DE Associate), Snowflake (SnowPro Core), and Azure (DP-900). I'm a Chemical Engineering grad from NIT Jalandhar who switched into data engineering — so I know exactly what the transition looks like from the inside. If you're an analyst trying to break into DE, a fresher figuring out where to start, or a working DE who wants to level up — I can cut through the noise and give you a straight answer. No fluff, no generic roadmaps. Just what's actually worked in production. Book a slot. Let's figure it out.