Data Engineer with 4+ years of experience in Python, SQL and Spark, building scalable data pipelines, ETL/ELT workflows and cloud native architectures across AWS, Azure and GCP. Enhanced reporting and analytics performance through SQL tuning, indexing and data warehouse design. Delivered robust data platforms by integrating diverse sources via Kafka, REST, GraphQL and event driven architectures, ensuring reliable and automated data flow. Built secure, high performance pipelines with Databricks, Spark, Snowflake and Synapse to process massive datasets with reduced latency and enabled real time KPI tracking and BI insights with Power BI, Tableau, and Looker while enhancing cross functional collaboration, mentorship and AI ready data enablement through governance, cataloging and metadata management.