4.2 years of overall IT experience with a focus on data engineering and software development.3.1 years of experience in Azure Data Engineering technologies, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS), PySpark, and Azure SQL Database.1.1 year dedicated to Python development, focusing on creating efficient and scalable solutions.Experience in tuning data factory pipelines and mapping data flows for optimal performance.Implemented performance tuning techniques in Spark, significantly improving the performance of Spark jobs.Manipulated and analyzed large datasets to find patterns and insights within structured and unstructured data.Migrated data from different source systems to Azure using Azure Data Factory and Azure Databricks.Designed and built scalable infrastructure and platforms on Azure Cloud to collect, process, and analyze large amounts of data (structured and unstructured).Good expertise in Agile Methodology, ensuring efficient project management and delivery.Strong knowledge of ETL processing using Azure Data Factory and Azure Data Lake Storage.Expertise in relational database systems like Oracle and MySQL, ensuring efficient data storage and retrieval.Experience with Snowflake Data warehouse, deep understanding of Snowflake architectureStrong background in Python, with a deep understanding of Object-Oriented Programming (OOP) concepts.Experience in creating RESTful APIs and integrating them with various applications.Worked with version control systems like Git, ensuring efficient code management and collaboration.Experience with containerization tools such as Docker and Kubernetes, ensuring scalable and portable applications.Strong communication and teamwork skills, facilitating effective collaboration and project success.