I am comfortable with Python and SQL for data engineering tasks. I have used Python extensively for data manipulation and analysis, utilizing libraries like Pandas and NumPy to clean and transform data. Additionally, I have employed Matplotlib and Seaborn for data visualization to create insightful reports. In my previous roles, I have written reusable Python scripts to automate data processing tasks, which improved efficiency and accuracy. With SQL, I have designed and executed queries to extract and aggregate data from databases, ensuring data integrity and quality. My experience includes optimizing SQL queries for performance and creating complex joins to retrieve meaningful insights from multiple tables. These skills have been instrumental in developing data pipelines and supporting data-driven decision-making processes.