Career Profile
Masato Nagashima is a Backend Engineer with a specialized focus on Spring Boot, Domain-Driven Design (DDD), and Clean Architecture. With a solid foundation in creating robust and scalable backend systems, Masato excels in developing high-quality, maintainable, and efficient software solutions.
In addition to his backend engineering expertise, Masato has a background as a Data Engineer. His proficiency in SQL, Python, Airflow, data warehouse (DWH) management, and Business Intelligence (BI) design has equipped him with a versatile skill set. This blend of backend and data engineering experience allows him to seamlessly integrate data processing workflows with backend services, ensuring optimal performance and data integrity.
Throughout his career, Masato has demonstrated a strong commitment to best practices in software development, including code quality, testing, and documentation. His ability to bridge the gap between backend engineering and data engineering makes him a valuable asset to any team, capable of handling complex technical challenges and delivering comprehensive, end-to-end solutions.
Experiences
Working as an infrastructure engineer at Rakuten.
Working as a backend engineer at Knowns. I am responsible for data management on AWS Redshift and backend development with Spring Boot.
- Python, SQL, Kotlin
- AWS, Git, MySQL, Docker, Spring Boot, DDD
This is a full-time 2 month internship at Morgan Stanley. Focus on developing financial algorithms and its PoC.
Developing UWB positioning system in Sony Summer Internship. This development were supported by NaviCX Engineering Team in FeliCa Divison.
- Python
Implementing a web application in Rakuten Summer Internship. I focused on database management and backend programming here.
- Python, SQL
- Flask, MySQL
Working on a research project controlling robots with deep learning models. I was responsible for all aspects of software development including data collection algorithm, motion generation program, and deep learning models.
- Python, C++
- Pytorch, Tensorflow, CUDA, Git, Deep Learning, URX, Math3d