About Me Hi, I'm Gaurav Rawat, Senior Software Engineer – Data & AI with experience building large-scale data platforms and AI-powered applications. I've worked with companies including Nike, Autodesk where I've designed scalable data pipelines, real-time streaming systems, cloud-native architectures, and GenAI solutions. I enjoy sharing practical knowledge from real-world engineering rather than just theory. Through LinkedIn and Topmate, my goal is to help aspiring and experienced engineers build strong careers in **Data Engineering and AI. Here's how I can help you: 🚀 Data Engineering Roadmap Whether you're a beginner or an experienced professional, I'll help you build a structured learning path covering SQL, Python, Data Modeling, Spark, Kafka, Airflow, Databricks, Snowflake, AWS, Terraform, CI/CD, and System Design—so you spend less time searching and more time learning. 💼 Career Guidance Planning to switch companies or move into Data Engineering? I'll help you understand what skills matter, identify knowledge gaps, and create a practical roadmap based on your experience. 📝 Resume & LinkedIn Review Your resume and LinkedIn profile are often the first impression recruiters have. I'll help you optimize both to improve your chances of getting interview calls. 🎯 Mock Interviews Get interview-ready with realistic mock interviews covering SQL, Python, Spark, Kafka, Data Modeling, System Design, AWS, Databricks, Snowflake, and behavioral rounds, along with detailed feedback. ⚡ Real-World Data Engineering Projects Learn how production-grade data platforms are built using Spark, Kafka, Airflow, Databricks, Snowflake, Terraform, AWS, DBT, Snowflake and modern data architecture patterns. 🤖 AI, RAG & Agentic AI Want to build AI applications? I'll help you understand Retrieval-Augmented Generation (RAG), Amazon Bedrock, Vector Databases, OpenSearch Serverless, MCP, LLM evaluation, and Agentic AI using practical examples. 📚 Learning Resources I'll share curated learning resources, project ideas, interview preparation strategies, and practical tips that have helped me throughout my career. If you're looking to grow in Data Engineering, Big Data, or AI, I'd be happy to help you accelerate your journey. **Let's connect, learn, and build together! 🤝**