Ramu D Email & Phone Number

United States

United States

Charlotte, Nc, Us

• Built and deployed RESTful APIs using FastAPI and Django to manage user data and automate tasks, significantly improving data accessibility and streamlining workflows.• Worked with in-house Quartz on-prem solution, involving its custom DB job scheduler and IDE around Python and specific Python libraries, contributing to the development and updating of financial instruments.• Developed and updated financial instrument logic using in-house client libraries and migrated it to newer Python versions, ensuring compatibility and performance improvements.• Built and deployed RESTful APIs using FastAPI.• Developed monitoring and notification tools in Python for proactive issue identification and resolution, enhancing system reliability and user experience.• Containerized applications using Docker to achieve improved scalability and deployment efficiency.• Performed troubleshooting, fixed, and deployed many Pythons bug fixes.• Managed and utilized AWS services including Lambda, S3, DynamoDB, and Kinesis to implement efficient data processing and storage solutions, optimizing infrastructure costs.• Implemented data extraction and ETL processes using Python, enhancing data accuracy and availability for analysis.• Utilized CI/CD pipelines (AWS CodePipeline, Jenkins) for automation.• Developed software solutions adhering to SDLC methodologies such as Agile and Scrum, ensuring timely and high-quality deliverables. Implement efficient data processing and storage solutions, optimizing infrastructure costs.

Mclean, Va, Us

• Implemented web applications using Flask and Django frameworks, adhering to MVC architecture principles to ensure code maintainability and reusability.• Designed and implemented a distributed QA infrastructure for automated testing, significantly reducing manual testing efforts and improving test coverage.• Automated test cases using Selenium WebDriver with the Python API, streamlining the testing process and guaranteeing application quality.• Containerized applications using Docker to achieve improved scalability and deployment efficiency.• Utilized in-house libraries and frameworks for deploying containerized applications to on-prem systems.• Migrated end of support applications to newer versions (Python version and deprecated library cleanup).• Did Code cleanup and modernization activities, developed data pipelines using AWS, Rest API’s and Python

New Brunswick, Nj, Us

• Developed Flask RESTful APIs for efficient data access and streamlined ETL (Extract, Transform, Load) processes, enhancing data integration and manipulation capabilities.• Designed and deployed applications utilizing various AWS services (EC2, Redshift, S3, RDS) for optimal resource utilization and performance.• Developed data models for applications and implemented performance optimization techniques such as indexing and optimized queries, ensuring efficient data retrieval and manipulation.

New York, Ny, Us

• Developed and optimized MySQL failover scripts on Linux OS, enabling seamless database failover in case of outages and maintaining data availability.• Created database Model, APIs and Views utilizing Python to build an interactive web-based application.• performed masterpiece tuning of various SQL queries after analysing join costs.• Worked on integrating python with Web development tools and Web Services.• Wrote and executed various MYSQL database queries from python using Python -MySQL connector and MySQL dB package• Utilize PyUnit, the Python Unit test framework, for all Python applications.• Extremely used plain JavaScript library to do the client-side validations.• Developed and tested many features for dashboard using Python, Bootstrap, CSS, and JavaScript.• Utilized various IDE’s and internal debug tools.• Used Pandas (Python library) for Statistical Analysis.• Experience in working with Python ORM Libraries including Django ORM, SQL Alchemy.• Performed troubleshooting, fixed, and deployed many Pythons bug fixes.

Bangalore, Karnataka, In

• Developed Edge IoT Applications using C and Python.• Integrated client libraries to read sensor data and store in MongoDb for data analysis.• Automated repetitive tasks using Python, Shell scripting, and XML.• Deployed edge applications in Linux based servers using shell script and linux commands.