I have extensive experience in Python and Java, having used them extensively in various projects ranging from web development to data analysis. In my last role, I developed a Java-based application that improved our data processing speed by 30%. I also have a solid understanding of C++, which I used for performance-critical applications.

I adhere to strict coding standards and practices, including thorough testing and code reviews. I use tools like JUnit for unit testing and SonarQube for static code analysis to catch and fix issues early. Additionally, I believe in continuous integration to automate the testing process and ensure that every change is validated before merging.

In a previous role, I was tasked with optimizing a legacy system written in an outdated language. I rewrote critical sections in Python, which improved performance and maintainability. The challenge was integrating the new code with the old system without disrupting operations. I achieved this by implementing a phased rollout and rigorous testing.

I regularly attend webinars, participate in coding forums, and read industry publications to stay abreast of new developments. I also engage in continuous learning through online courses and certifications. For instance, I recently completed a course on advanced Python techniques that I applied to improve the efficiency of a data processing script.

My approach to debugging involves a systematic process of isolating the issue, understanding the root cause, and applying a fix. I start by reproducing the bug in a controlled environment and then use debugging tools to trace the execution flow. Once I identify the problematic code, I refactor or rewrite it to resolve the issue, followed by rigorous testing to ensure the fix is effective and does not introduce new problems.