Results-driven Data Engineer with 5+ years of experience designing, building, and optimizing scalable data platforms across Azure and AWS ecosystems. Proven expertise in developing robust ETL/ELT pipelines using Python, SQL, PySpark, Databricks, Snowflake, and Delta Lake, enabling high-quality analytics and business reporting. Strong background in multi-hop (Medallion) architecture, data quality validation, SCD Type 1 & 2 implementations, and workflow orchestration using Azure Data Factory and Airflow. Demonstrated success in integrating diverse data sources (APIs, databases, files, streaming systems), reducing data errors by up to 95%, improving analyst productivity, and accelerating CI/CD-driven deployments. Adept at collaborating with cross-functional teams to deliver reliable, secure, and performance-optimized data solutions for enterprise-scale use cases.