I am comfortable with Python and SQL. In my data engineering tasks, I have used Python extensively for data manipulation and analysis, leveraging libraries like Pandas for data cleaning and transformation, and Matplotlib and Seaborn for creating visualizations. I have also written reusable and modular code to automate data processing tasks. With SQL, I have experience writing queries to extract and manipulate data from databases, performing operations like filtering, aggregation, and joining tables to ensure data accuracy and reliability. These skills have been crucial in building efficient data pipelines and supporting data-driven decision-making processes.