IT Experience - 6+ years (Data & Analytics)-----------------------------------------------------------------✔ Designed and implemented ETL pipelines using Python, PySpark to extract data from diverse sources, transform it to meet business requirements, and load it into target systems efficiently in Azure Databricks platform.✔ Proficient in utilizing key Python libraries for data analysis, including NumPy, Pandas, JSON, Matplotlib, and Seaborn, to drive insights and achieve project objectives. ✔ Developed dynamic Microsoft Power BI dashboards and utilized DAX (Data Analysis Expressions) to create calculated columns & measures, delivering actionable insights and advanced analytics for informed decision-making and KPI extraction. ✔ Crafted advanced Alteryx workflows to streamline data cleansing and re-shaping, precisely tailored to client specifications. ✔ Proficient in data modeling, crafting complex SQL queries, and optimizing performance for enhanced efficiency. ✔ Led a team of 6 members, delivering training, developing use cases across various tools and technologies, and preparing them for successful project execution✔ Designed and implemented complex database objects, including stored procedures, functions, packages, triggers, indexes using Oracle PL/SQL in various domains like Retail, Finance etc. ✔ Developed automated solutions, including reports and alerts using Python and SQL to significantly reduce manual effort and minimize errors. ✔ Proficient in leveraging APIs with Beautiful Soup and JSON for advanced web scraping and data extraction. ✔ Expert in Unix shell scripting and Oracle Forms and Reports development, with a strong track record of creating robust and efficient solutions.