Amit Ramesh Bramhecha

Java Developer

• Developed and maintained Java-based applications, ensuring high performance and responsiveness.
• Utilized Spring Boot for building and deploying both monolithic and microservice architectures.
• Utilized TestNG for unit testing and automated testing of Java applications.
• Integrated Splunk for monitoring and analyzing application logs to ensure system reliability and performance.
• Worked with Docker and Kubernetes to containerize and orchestrate Java applications.
• Collaborated with cross-functional teams to design and implement scalable and efficient solutions.
• Conducted code reviews and provided constructive feedback to improve code quality and adherence to best practices.

DevOps Engineer

• Collaborated with development and operations teams to automate, streamline, and improve deployment processes.
• Managed and monitored infrastructure and applications using tools such as Kubernetes, Docker, and Ansible.
• Troubleshot issues and provided technical support for development and operations teams.
• Managed and improved configuration management systems.
• Worked closely with developers to optimize application performance and ensure scalability.
• Collaborated with QA teams to ensure effective testing and delivery of software releases.
• Researched and recommended new technologies and methodologies to enhance DevOps practices.
• Documented processes, procedures, and system configurations.
• Participated in code reviews and provided feedback on infrastructure-related best practices.

• Backend Development with PHP:
• Developed and maintained scalable backend systems using PHP
• Implemented RESTful APIs and optimized backend processes to improve application performance
• Enhanced code quality with regular refactoring and performance tuning, resulting in faster load times and better resource utilization
• Database Management with Oracle:
• Designed and optimized complex SQL queries in Oracle databases to ensure efficient data retrieval
• Developed and maintained stored procedures, triggers, and scripts for automated data management
• Ensured data integrity and optimized database performance by indexing, normalization, and query tuning
• Scripting and Automation with Python:
• Created automation scripts in Python to streamline repetitive tasks, saving significant manual effort and reducing errors
• Implemented data validation and transformation scripts for data preprocessing and cleansing
• Leveraged Python for process automation, improving overall workflow efficiency
• Manual Testing:
• Conducted manual testing to validate feature implementations, ensuring they meet functional and non-functional requirements
• Created detailed test cases, executed them, and logged bugs for quick resolution by development teams
• Collaborated closely with QA to ensure thorough coverage of test scenarios and to maintain high-quality software releases