I specialize in AWS, Databricks, PySpark, and Lakehouse architecture, with hands-on expertise in building high-performance ETL/ELT pipelines, real-time streaming systems (Kafka), and cloud-native data solutions. My work focuses on improving data reliability, latency, and cost efficiency at scale. Over the years, I’ve worked on large-scale data systems powering analytics, dashboards, and AI/ML use cases, collaborating closely with data scientists, analysts, and business stakeholders. I can help you with: Data Engineering (beginner → advanced) Databricks, Spark & pipeline optimization System Design for data platforms Resume reviews & interview preparation If you’re looking to grow in data engineering or solve real-world data challenges, happy to help!