A data engineering professional with almost 5 years of experience has been engaged in building scalable, cloud-native solutions. Core competencies have been demonstrated in developing and optimizing data pipelines using technologies such as Azure Data Factory, Databricks, PySpark, Delta Lake, and Microsoft Fabric. Complex data transformations have been implemented, and data models have been designed to support structured, governed, and reusable architectures such as the Medallion framework. Experience has also been gained in traditional ETL processes using Informatica and Unix scripting, supporting legacy systems and large-scale batch processing environments. Efforts have been focused on automation, performance tuning, and cost optimization, while ensuring compliance with data governance standards including GDPR and audit requirements. Deployment automation has been carried out using CI/CD practices and DevOps pipelines. Experience has been gained across multiple domains including insurance, human resources, and technology. Collaboration within Agile environments has been a consistent aspect of project delivery, along with a strong commitment to continuous learning and staying current with modern data engineering practices.