Mr. Rajesh Kumar Kanji

Modern Data Infrastructure Starts with Data Quality: A Cloud-Native Approach

Abstract:

In today’s data-driven world, organizations are investing heavily in modern data infrastructure — from scalable cloud data warehouses to advanced analytics platforms. Yet, even the most sophisticated tools are only as effective as the quality of the data they manage. Poor data quality leads to unreliable insights, broken pipelines, and costly decisions. This talk explores why data quality must be treated as a foundational layer of modern data
infrastructure — not an afterthought. We’ll examine how a cloud-native approach enables proactive, scalable, and continuous data quality management. Through real-world examples and best practices, attendees will learn how to embed automated testing, anomaly detection, and observability directly into their data pipelines.

Profile:

Rajesh Kumar Kanji, is a Lead Technical Product Engineer with over 16 years of experience in Informatica tools, IICS, and data integration architecture. I specialize in designing scalable ETL/ELT solutions, managing end-to-end data platforms, and leading cloud migration projects to AWS, Azure, and Snowflake. I’ve worked with top tech companies like Dell, IBM, and Informatica, bringing hands-on expertise in data management and cloud modernization. I’m passionate about helping the next generation of tech professionals by sharing real-world insights and best practices. Driven by a passion for continuous learning and innovative problem- solving in data and Technology domains.