Designed and implemented Python automation scripts to efficiently extract and transform data from various sources, including databases and APIs.Conducted comprehensive analysis on extracted data using Python, applying advanced data analysis techniques and statistical models to uncover valuable insights and trends.Performed thorough Exploratory Data Analysis (EDA) on ISV success program datasets using Python, employing various statistical techniques and visualization tools to gain a deeper understanding of the data. Identified patterns, trends, and correlations to derive actionable insights and recommend strategic improvements.Leveraged Common Table Expressions (CTEs) to extract data from multiple fact tables and dimensions based on specific business requirements.Demonstrated proficiency in querying and extracting data from Kusto clusters on Azure Data Explorer by designing and running Python-based Kusto queries. Effectively utilized capabilities to manipulate and transform the retrieved data and ensured its usability for analytical purposes.Utilized the power of Python and pyspark.sql queries to extract data from Azure Synapse Analytics notebooks.