> 15+ years of experience architecting and implementing cloud-based Data Engineering and DataOps solutions across AWS and Azure platforms.> Expertise in designing scalable batch and streaming pipelines with AWS / Azure cloud, Apache Spark, Kafka, Kinesis, and Airflow to enable data-driven decisions.> Skilled in cloud-native development, leveraging Python, Flask, Serverless architectures, and CICD pipelines with Docker, Kubernetes, Terraform, and GitLab.> Proven track record in leading teams to deliver AI-enhanced data platforms, driving automation, and developing reusable frameworks for complex data processing.> Extensive collaboration with AI/ML teams on developing Proof of Concepts (POCs) integrating Large Language Models (LLMs), RAG applications, and generative AI using Lang Chain frameworks.> Passionate about solving intricate data challenges through AI-driven innovations, adapting to emerging technologies, and mentoring teams to excel in advanced data engineering practices.> Certified in AWS and Azure, with deep expertise in building modern data platforms that leverage AI, including real-time data processing and retrieval-augmented generation (RAG) solutions.