Mandeep Singh

Mandeep’s extensive experience in data engineering and intelligent systems has equipped him with a deep understanding of modern lakehouse architecture and the critical role of production-grade AI in transforming enterprise data. He has a proven track record of designing and implementing high-throughput data platforms, optimizing distributed compute workloads, and building reliable AI solutions that streamline operations and maximize compute efficiency across multi-cloud environments. Operating at the intersection of big data and AI engineering, he specializes in Databricks, Apache Spark, and Delta Lake alongside cutting-edge generative AI technologies, including RAG pipelines, LangGraph agent workflows, and vector search systems. A systems-first practitioner, Mandeep writes practical, production-tested insights focused on distributed processing performance, Lakehouse design patterns, and scalable LLM application architectures.