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Vineel Arekapudi
Lead Data Engineer, Wells Fargo
Vineel Arekapudi works at the intersection of large-scale data engineering, cloud platforms, and applied AI. He currently builds and leads modern data platforms at a major U.S. bank, where he designs lakehouse and streaming architectures that operate at multi-billion-record scale across cloud environments. His background spans the full evolution of enterprise data systems, from mainframe and Teradata warehouses to cloud-native lakehouses built on Spark, Iceberg, Kafka, and Kubernetes.
Vineel
at PlatformCon
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Talk
On-demand
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Virtual
15
mins
From lakehouse to platform product: Engineering data platforms developers love
How Wells Fargo evolved lakehouses into internal data platform products with APIs, governance, and developer-first abstractions that drive real adoption.
Talk
On-demand
Virtual
15
mins
How internal data platforms unlock enterprise AI adoption
Explore how governed lakehouse platforms and standardized pipelines enable reproducible, compliant, and scalable enterprise AI development at Wells Fargo, one of the largest commercial banks in the US.
Talk
On-demand
Virtual
15
mins
Observability for data platforms: From pipelines to platform SLOs
True observability for data platforms by connecting pipeline metrics, Spark workloads, and Kubernetes signals into actionable platform SLOs for petabyte scale Spark workloads
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