I specialize in Spark, PySpark, SQL, ETL architecture, and cloud-based data platforms (Snowflake, Airflow, AWS/Azure). Over the years, I’ve worked on large-scale production pipelines, data migrations, performance optimization, and real-world business data problems handling high-volume datasets. I actively mentor aspiring and mid-level Data Engineers in: Spark & PySpark (real production use cases) SQL for interviews and analytics ETL design & optimization Data Engineering interview preparation (L1/L2 rounds) Project storytelling for client and technical interviews My mentoring style is practical and industry-focused — not just theory. I guide based on real project scenarios, debugging approaches, and production challenges that companies actually expect in interviews (Big4, Banks, Product companies). If you are: • Preparing for Data Engineer interviews • Transitioning from ETL/SQL role to Spark/Data Engineering • Struggling with PySpark, SQL, or pipeline design • Looking for resume/project guidance with real feedback I can help you with structured, experience-driven guidance to become confident in both interviews and real-world data engineering work. Let’s grow your Data Engineering career with practical learning