I developed a real-time data analytics application that processed large volumes of streaming data. The main challenge was optimizing the performance to handle high throughput while ensuring low latency. I implemented a multi-threaded architecture and used efficient data structures to manage memory usage. Additionally, I integrated a caching mechanism to reduce database queries, which significantly improved the application's responsiveness.

I follow industry best practices such as input validation, parameterized queries, and encryption of sensitive data. I also conduct regular code reviews and security audits to identify and mitigate potential vulnerabilities. Additionally, I stay updated with the latest security threats and incorporate necessary patches and updates promptly.

I have extensive experience with Git, using it for branching, merging, and managing code changes. In a team environment, I ensure clear communication about code changes through pull requests and code reviews. I also maintain a well-organized repository with meaningful commit messages and regular backups to prevent data loss.

I start by isolating the issue using logging and debugging tools to identify the root cause. I then systematically test potential solutions and monitor the application's behavior. If necessary, I consult with team members or refer to documentation. I also document the issue and the resolution process for future reference.

I have integrated various third-party APIs, such as payment gateways and social media platforms, into my applications. I ensure compatibility by thoroughly reading the API documentation and testing the integration in a staging environment. I also handle potential errors gracefully and provide fallback mechanisms to maintain application functionality.