Golang Developer | Backend Engineer | Cloud Computing I have showcased my expertise in Golang by:Developing Data Collectors: Utilized the Go Cloud SDK from various providers to create efficient data collectors, ensuring seamless data collection and management within complex environments.Building REST APIs with Gorilla Mux: Leveraged the Gorilla Mux Framework to design and implement RESTful APIs, optimizing performance and scalability while ensuring smooth integration with frontend systems.Optimizing Codebase and Code Quality: Took ownership of the Golang codebase, conducted thorough code reviews, and maintained high standards of code quality to deliver robust and maintainable software solutions.Collaborating on Infrastructure Deployment: Collaborated with teams to deploy infrastructure using Terraform, ensuring efficient and automated deployment processes that align with best practices in cloud computing.Golang Developer | Backend Engineer | Cloud Computing EnthusiastAlso Shown Skills in python:Authored automation tests using Python and the Robot Framework as part of the project, showcasing my expertise in automating tasks and ensuring software quality through comprehensive testing. Given a BDD approach to make developer life easy.

Worked on Understanding Cloud Services and Authored Data Collector for them.Responsility includes Understanding a cloud service Authoring data collector for it, Data Modelling and unnderstanding its vunerability.Skills used here are :- Go, Cloud SDK, Python, Robotframework

Web Application Development: Developed a robust web application focused on user access management. Utilized Python as the primary programming language for backend development, ensuring scalability, reliability, and security of the application.Customer Data Collection and Processing: Implemented functionalities to collect customer data efficiently, process it according to defined business logic, and store it securely in a Postgres database. This involved designing and optimizing database schemas for efficient data storage and retrieval.Automated Report Generation: Added features to automate the generation of reports based on customer IDs. Utilized Python's data manipulation and reporting capabilities to generate insightful reports containing relevant customer information.Daily Email Notifications: Integrated functionality to send daily email notifications containing the generated reports to stakeholders. This automation streamlined communication processes and ensured timely dissemination of critical information.Collaboration and Documentation: Collaborated with cross-functional teams to gather requirements, design solutions, and implement features effectively. Documented development phases, including requirements, design decisions, implementation details, and testing procedures, ensuring transparency and maintainability of the codebase.Quality Assurance: Conducted thorough testing, including unit testing and integration testing, to validate the functionality, performance, and reliability of the application. Addressed bugs and issues promptly to deliver a high-quality product to stakeholders.