Designed and developed 12+ end-to-end data solutions on Azure, to support the visualisation of customer’s data from various sources.Developedmetadata-driven pipelines within Azure Data Factory, enhancing flexibility, scalability and reusability.Leveraged Azure Data Flow to orchestrate complex data transformations and streamline data workflows.Utilized Databricks platform for efficient normalization and transformation of data using Scala and SQL.Worked with Delta tables for efficient data storage and processing to manage schema evolution and achieve ACID transactions.Collaborated with stakeholders to gather and analyze business requirements, ensuring alignment with data engineering best practices.Utilized Azure DevOps for version control, continuous integration, and deployment, streamlining code movement across various environments.Managed diverse data sources, including FTP servers, ADLS, Blob Storage, REST API, SQL databases, and SFTP servers, as part of Azure Data Factory (ADF) workflows.Developed pipelines utilizing Informatica Intelligent Cloud Services (IICS) for seamless API ingestion, ensuring efficient and reliable data integration.Conducted workshops to demonstrate the functionality and benefits of implemented data solutions.Created and configured SFTP server for secure and reliable file transfers within the Azure environment.

Developed and maintained PL/SQL procedures, functions, and triggers to support business applications.Developed and executed test cases to ensure the reliability and scalability of SOA services.Automated testing processes to improve efficiency and accuracy.Prepared testing documents and other project management related documents.