Open to opportunities

NITESH TRIPURANA

@niteshtripurana

Message

I build AI-ready data platforms and scalable distributed pipelines across Databricks, Snowflake, AWS, and Azure.

India

Message

What I'm looking for

I'm looking to lead architecture and delivery of scalable, AI-ready data platforms, partnering with global engineering, AI, product, and business teams on complex distributed-data challenges.

At Novartis, I architect and lead scalable Databricks data platforms for ClinicalOps and NextGen, covering data modeling, ingestion, transformation, governance, compliance, and AI-readiness. I build low-latency Spark SQL and PySpark pipelines using Databricks Workflows, Photon, and materialized views while embedding data quality, auditability, lineage, and cost optimization.

Across Westpac, Capgemini, Wipro, Cognizant, and Novartis, I’ve delivered real-time and batch data systems spanning Snowflake, Kafka, Airflow, Hadoop, AWS, Azure, and distributed databases. I work directly with global engineering, AI, product, and business teams to turn ambiguous requirements into production-grade data solutions.

Experience

Work history, roles, and key accomplishments

Current

Solution Design Expert / Data Engineering Lead

Current

Novartis

Oct 2023 - Present (2 years 10 months)

Architect and lead scalable data platform and pipeline design on Databricks, implementing end-to-end data architectures focused on scalability, analytics, and AI-readiness across ClinicalOps and NextGen platforms. Define data modeling strategies, ingestion processes, transformations, and orchestration workflows; establish engineering standards and governance frameworks adopted enterprise-wide.