I am comfortable with Python and SQL, which I have used extensively in my previous roles. For instance, during my internship at ETLHIVE, I utilized Python for data manipulation and analysis, employing libraries like Pandas and NumPy to perform exploratory data analysis. I also used Python to automate operational reports, enhancing efficiency. In terms of SQL, I have experience designing queries and optimizing them for better performance. At MERISKILL, I developed SQL queries to analyze diabetic patient behavior, which significantly reduced data retrieval time. These experiences have equipped me with the skills to handle data engineering tasks efficiently.