StreamNative Introduces Lakestream Architecture and Launches Native Kafka Service

Read Announcement > Sign Up Now >
StreamNative Logo
WebinarApr 24, 2025

Kafka Migration Best Practices: Minimize Cost & Downtime

Unlock Instant Access

Complete the form to start watching.

Webinar Overview

Learn Kafka migration best practices and how to ensure a smooth transition without disruption using StreamNative UniLink to minimize costs and eliminate downtime.

Join StreamNative and Nexaminds for an expert-led webinar covering Kafka migration best practices. Learn how to minimize costs and eliminate downtime using StreamNative UniLink technology.

What You'll Learn

  • Best practices for migrating Kafka workloads with zero downtime
  • How StreamNative UniLink enables seamless Kafka migration
  • Strategies for reducing infrastructure costs during and after migration
  • Real-world migration experiences from Nexaminds' data engineering team

About Speaker

Kundan Vyas

Kundan Vyas Director, Product & Partnerships at StreamNative, owning the end-to-end cloud product portfolio across Serverless, Dedicated, and BYOC offerings for Kafka, Pulsar, Flink, and Agentic AI. Leads strategy and execution for lakehouse-native integrations with partners across Iceberg and Delta ecosystems, delivering AI-ready, real-time data platforms. Also owns global partnerships across cloud service providers, ISVs, and system integrators—driving co-build, co-sell, and go-to-market initiatives that accelerate customer adoption, expansion, and new logo growth.

Tejpal Dhillon

Tejpal Dhillon Tejpal Dhillon is a Solutions and Sales Engineering Leader at Nexaminds with 30 years of experience in digital transformation, enterprise architecture, and the implementation and management of large-scale enterprise platforms and shared services.

Guillermo Hernandez

Guillermo Hernandez Senior Data Engineer at Nexaminds, specializing in data architecture, real-time processing, and cloud-based solutions. With expertise in technologies like Kafka, Spark, Snowflake, Airflow, and AWS. Have helped enterprises optimize their data pipelines and enhance decision-making with scalable, high-performance systems. Passionate about automation and data quality. Committed to driving innovation in modern data engineering.