Senior Data Engineer with 7+ years of experience turning messy, large-scale data into reliable, decision-ready pipelines — and helping other engineers do the same. ⚡ I currently engineer petabyte-scale data systems at Amazon. I've architected a Lakehouse on AWS ,built and maintaine 100+ ETL pipelines using Apache Spark that process 5 TB of data daily tto power customer return analytics. 🔥 Apache Spark is where I do my best work. I love the craft of squeezing every bit of performance out of distributed jobs — I've improved existing PySpark workloads by 60% using advanced Spark optimisation techniques. 📜 Interview and Mentoring: I have conducted 100+ Data Engineer technical interviews covering DSA, SQL, Pyspark, Cloud, System Design and Behavioural interviews. I have also mentored my peers translating hard concepts into things people can actually apply