Data Conference Databasea Query.Farm index
Speakers

Vineel Arekapudi

Employers on the program

  1. 2026Wells Fargo3 talks

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Beam Summit
  • Iceberg Summit
  • SQLSaturday

Talks

DateEventConferenceRoleTitleLinks
Jun 22, 2026Beam Summit 2026Beam Summitspeaker'Beam'-ing Iceberg Tables Across Environments Using Project Nessie
as Wells Fargo
At Wells Fargo, we delve into our approach for backing up and synchronizing Apache Iceberg tables across environments using Project Nessie as a catalog-level…Show less

At Wells Fargo, we delve into our approach for backing up and synchronizing Apache Iceberg tables across environments using Project Nessie as a catalog-level control plane and Apache Beam as the unified replication engine. By combining object storage replication with Nessie’s Git-like metadata...

SlidesVideo
Apr 8, 2026Iceberg Summit 2026Iceberg SummitspeakerBacking Up Apache Iceberg Tables Across Environments Using Project Nessie
as Wells Fargo
In this talk, we delve into Wells Fargo's approach for backing up and synchronizing Apache Iceberg tables across environments using Project Nessie as a…Show less

In this talk, we delve into Wells Fargo's approach for backing up and synchronizing Apache Iceberg tables across environments using Project Nessie as a catalog-level control plane. By combining object storage replication with Nessie’s Git-like metadata versioning, we demonstrate how production Iceberg tables can be continuously mirrored into non-production catalogs.

Video
Mar 21, 2026SQLSaturday Atlanta AI & BI #1127SQLSaturday—Weaving RAGs into Fabric: A Governed Lakehouse Architecture for Enterprise AI Agents
as Wells Fargo
In this session we look at how Wells Fargo implements “RAG-as-a-Service” multi-agent architecture built on Microsoft Fabric, where logs are centralized in…Show less

In this session we look at how Wells Fargo implements “RAG-as-a-Service” multi-agent architecture built on Microsoft Fabric, where logs are centralized in OneLake and Databricks serves as the execution layer for orchestrating sequential agents.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
JB Onofré2—2026

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.