Kunal Jain

Kunal Jain is a Software Engineer at Adobe, where he works on data platforms, observability, and real-time analytics infrastructure. His background includes building large-scale data pipelines using PySpark, managing high-throughput APIs, and implementing CI/CD practices for distributed systems. Kunal holds a Master’s in Software Engineering from Carnegie Mellon University, where he focused on scalable systems, QA, and cloud-native architectures. He’s especially interested in the intersection of backend engineering and data quality, and how testing practices need to evolve to meet the demands of modern data-driven systems. Kunal enjoys sharing lessons learned from real-world production challenges and helping teams bring a more thoughtful, test-first mindset to data engineering. Visit his website here.