I am proficient in Java, Python, and SQL, with Python being my strongest language due to its versatility and extensive use in data analysis and machine learning.

I approach debugging by first trying to replicate the issue consistently, then using tools like debuggers and logging to trace the source of the problem. I also write unit tests to ensure that similar issues do not arise in the future.

In my previous role, I worked on a large-scale data migration project. I developed scripts to automate data extraction and transformation, significantly reducing the time required and ensuring data accuracy, ultimately contributing to the project’s successful completion ahead of schedule.

I follow coding standards and guidelines, conduct regular code reviews, use static and dynamic analysis tools, and keep up-to-date with the latest security practices to ensure my code is secure and maintainable.

I use project management tools like JIRA or Trello to track progress and deadlines. I prioritize tasks based on their urgency and importance, and I maintain clear communication with stakeholders to ensure alignment and timely delivery.

At my previous job, I identified that a manual data entry process was prone to errors and time-consuming. I developed an automation tool that reduced error rates by 80% and increased efficiency, allowing the team to focus on more strategic tasks.