Data Engineer with 4+ years of experience building scalable data pipelines and cloud-based architectures using Azure and Databricks. I specialize in designing end-to-end data solutions—from ingestion to transformation and analytics—leveraging tools like Azure Data Factory, Data Lake Storage, Synapse Analytics, and Apache Spark on Databricks. I have hands-on experience implementing data governance and access control using Unity Catalog and delivering high-performance ETL/ELT workflows using SQL, PySpark, and Python. I bring a strong understanding of data modeling, performance optimization, and cloud-native engineering best practices. In addition to core engineering work, I actively integrate AI tools into my daily workflows to automate routine tasks, accelerate code development, and improve efficiency. I also support machine learning initiatives by preparing production-grade datasets and optimizing pipelines for ML model training and deployment. I'm passionate about building data-driven systems that are not only efficient and secure, but also enable smarter business decisions.