Naman Gupta

I’m a 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 ~𝟰 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 building high-scale, fault-tolerant data platforms that power real-time decision-making and business operations. I specialise in Databricks Lakehouse architecture, Spark, Kafka, Airflow, and AWS, with a strong focus on reliability, cost optimisation, and SLA-driven systems.

Trusted with end-to-end ownership of the data platform, I drive platform-level strategic initiatives that translate the organisation’s data strategy into scalable, production-ready systems.

At Tata 1mg, I:
• Own the Databricks platform and core Dim–Fact data model, including cluster management, access governance, and cost optimisation across production workloads
• Re-architected workflows to a loosely coupled, fault-tolerant model, reducing processing time by 75% and failure rates to <0.05%
• Built 99.9% SLA-compliant platforms with PagerDuty-based alerting and automated incident response
• Designed real-time streaming pipelines (Kafka + Spark) handling critical business workflows with sub-second latency
• Migrated unoptimised systems to incremental Dim–Fact models, cutting compute costs by ~50%

I strongly believe in ownership over pipelines, observability by default, and building systems that scale with the business — not just “run”.