I'm a Data Engineer with 6 years of experience designing and scaling end-to-end data pipelines, the kind that quietly power dashboards, reports, and decisions without anyone noticing (until they break, and I make sure they don't). My toolkit runs deep across the Azure data stack, Data Factory, Synapse Analytics, Databricks, Data Lake, and Blob Storage paired with Apache Airflow for orchestration and Spark/PySpark for heavy-lifting at scale. I've built pipelines that pull from everything from SAP and SFTP to cloud and on-prem systems, wrangling formats from CSV to Parquet to Delta without breaking a sweat. I currently lead data engineering efforts for a team, translating messy business requirements into clean, reliable, production-grade pipelines and before that, built pipelines integrating multiple independent data sources, optimized SQL at scale, and engineered failure-proof error handling so pipelines fail loud, not silent. I'm certified across the Databricks and Azure ecosystems (Data Engineer Associate, Lakehouse Fundamentals, Solution Architect, and more), and I've shipped projects across retail, healthcare, and finance domains. Through Topmate, I help data engineers and aspiring data engineers with: 1:1 Career Mentorship:- mapping your DE career path, choosing high-leverage skills/certifications, and decoding what companies actually look for Mock Interviews:- real technical rounds on pipeline design, cloud architecture, SQL, and system design Interview Prep Guidance:- building a focused prep plan, nailing behavioral rounds, and walking in confident If you're building your DE career and want a shortcut past the trial-and-error, let's talk.