Bio & Philosophy
Nithin K Arunprasad leads the Data Engineering practice at Ideas2IT, where he helps enterprises modernize their data infrastructure from fragmented pipelines to unified, analytics-ready platforms. With over a decade of experience across cloud-native data architectures, real-time ingestion, and lakehouse enablement, Nithin brings both strategic thinking and hands-on delivery to every engagement.
He’s worked with clients across healthcare, BFSI, manufacturing, and supply chain, solving challenges in data quality, governance, and interoperability at scale. Whether architecting event-driven pipelines on Snowflake, deploying batch/stream hybrids on Azure, or refactoring legacy ETL into modern orchestration layers, Nithin focuses on building for reliability, speed, and long-term maintainability.
His approach is deeply technical, yet grounded in business context. For Nithin, the goal is decision-grade data, delivered right.
- Cloud Data Architecture (Snowflake, Azure, AWS)
- Data Pipeline Design (Batch, Stream, Hybrid)
- Data Lakes, Lakehouses & Warehouse Optimization
- ETL/ELT Refactoring & Modernization
- Real-Time Ingestion & Processing Frameworks
- DataOps, CI/CD for Data Engineering
- Data Governance, Quality & Observability
- Bachelor’s Degree in Engineering (University not specified)
- 10+ years in enterprise-grade data engineering and platform delivery
- Snowflake and Azure Data Engineering certified (internal specialization)
- Contributor to Ideas2IT’s proprietary data migration and lakehouse accelerators