As an ETL/DWH Test Engineer, I have gained expertise in various databases and cloud technologies like Oracle, Teradata, MySQL, MS SQL Server, Azure Databricks, PySpark, Snowflake, Data Lake, ADLS, PostgreSQL, etc.
I have been utilizing Azure Databricks to program in Python using PySpark to automate testing and validate data using popular libraries like NumPy and Panda. In addition, I have also been developing Python programs efficiently to convert flat files format (Json, Parquette, Excel etc.) as a source system to match and validate them with the target source system.
Furthermore, acquiring knowledge in Data Warehouse technology has greatly enhanced my skills, including its various approaches like enterprise data mart, virtual warehouse system, snowflake, star schema, slowly-changing dimensions, facts and dimensions, data mining, and many more. I have also gained extensive experience using tools such as Informatica Power Center, DataOps Suite, HPALM, JIRA, and Octane.
In addition, I have excellent proficiency in various programming languages such as Python, Java, HTML, CSS, PHP, C, and JavaScript. I have completed various professional certifications, some of which are listed below along with their corresponding certificates.
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