I’m a Data & AI Architect with 13+ years of experience building large-scale data platforms and distributed systems across multi-cloud (AWS, GCP, Azure) and private cloud (OpenStack) environments. Over the years, I’ve worked on designing and scaling systems that handle high-throughput data workloads (10,000+ events/sec), real-time streaming pipelines using Kafka & Spark, and modern lakehouse architectures using Iceberg, Parquet, and ORC. I’ve also explored building GenAI-powered data systems, including RAG-based platforms that enable natural language querying over large datasets. Currently, I focus on: * Data Platform Architecture (Batch + Streaming) * Lakehouse Systems (Databricks / Iceberg) * Distributed Systems & Scalability * AI / GenAI integration with data platforms Alongside hands-on engineering, I’ve led cross-functional teams, driven architecture decisions, and delivered enterprise-scale platforms including IAM systems on OpenStack-based private cloud. I can help with: * Data Engineering & Architecture guidance * System design (real-time + batch systems) * Kafka / Spark / Lakehouse architecture * Career guidance for Data Engineers transitioning to Architect roles If you're looking to grow in data engineering, architecture, or AI systems — happy to connect and share practical insights from real-world experience.