Hey there! 👋 I’m Saugandhik — a Data Engineer with 7+ years of experience working in product-based environments where performance, scalability, and reliability really matter. Over the years, I’ve worked hands-on with tools like Snowflake, Python, Kafka, dbt, Airflow, and AWS to build end-to-end data pipelines, optimize ELT workflows, and enable real-time analytics at scale. My experience spans across data architecture design, CI/CD for Snowflake, and automation using Terraform and Git. Beyond the tech, I love helping people bridge the gap between theory and practice — whether that’s breaking down complex data engineering concepts, designing migration strategies, or guiding career transitions into data roles. If you’re someone who wants to: ✅ Understand how to design scalable data pipelines ✅ Learn Snowflake or dbt the right way (with context from real projects) ✅ Build a data portfolio that stands out ✅ Or just discuss how to grow as a data professional — then let’s connect. I’d be happy to share what’s worked for me, what mistakes to avoid, and how to navigate this evolving data landscape effectively. Let’s make data work for you, not the other way around.