Ram Mangla — Software Engineer
Working at Lowe’s India in the Supply Chain – Inventory Replenishment Planning domain. My work focuses on modernizing legacy ETL workflows using Java, PySpark, and Apache Kafka to enhance scalability, data reliability, and cost-efficiency. Leveraged Airflow for job orchestration, PostgreSQL for data storage, and Gen AI tools like Windsurf and LLM APIs for workflow optimization and documentation. Experience in transitioning monolithic architectures to microservices using Spring Boot, implemented RESTful APIs, and developed BPMN-based decisioning flows. Experience on working with technologies including Java 17, Spring MVC, Spring Reactive, Python, MongoDB, Angular, GraphQL, Docker, Kubernetes, Camunda, Oracle SQL, and distributed system patterns to deliver robust, data-driven solutions across enterprise platform.
Stackforce AI infers this person is a Backend-heavy Fullstack developer in the Supply Chain and Fintech industries.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 9 mos
Skills
- Java
- Pyspark
- Spring
Career Highlights
- Expert in modernizing ETL workflows for supply chain efficiency.
- Proficient in transitioning monolithic architectures to microservices.
- Skilled in leveraging Gen AI tools for workflow optimization.
Work Experience
Lowe's India
Software Engineer (2 yrs)
CGI
Software Developer (2 yrs 8 mos)
SPARK ( Summer Internship at IIT Roorkee ), IITR
Summer Intern (2 mos)
Skillics Learning Solutions
Student Intern (2 mos)
Education
Bachelor's degree at Dr B R Ambedkar National Institute of Technology, Jalandhar