Summary
Diptiman Raichaudhuri is a data and ML-focused engineer with 11 years of hands-on experience designing large-scale, real-time data platforms and analytics solutions across cloud providers. He has held senior technical and advocacy roles at Confluent, Google, and AWS, helping enterprises in manufacturing, retail and telecom build streaming, analytics and generative-AI use cases using Kafka, Flink, Spark, Iceberg/Delta and services like Bedrock and SageMaker. Comfortable at the intersection of developer relations and deep architecture, he translates customer needs into production-grade pipelines, frameworks and reference architectures. His background spans enterprise Java, microservices and payment systems through earlier roles at Wipro, Cognizant and TCS, giving him strong end-to-end system design instincts. Based in Kolkata, he blends practitioner-level engineering with public-facing advocacy—equally at home coding a data pipeline or evangelizing realtime streaming patterns. A detail that often surprises peers: despite a career in cutting-edge cloud analytics, his roots include low-level Perl and Java development on large enterprise CRM platforms, which informs his pragmatic approach to modern platform design.
11 years of coding experience
14 years of employment as a software developer
B..E, B..E at Jadavpur University