SAP ABAP Developer - S/4HANA / CDS Views / OData Expert

SHREYA SHETTY

Bangalore, Karnataka +91-815******* ****************@*****.*** Linkedin

PROFILE

Motivated SAP ABAP Developer skilled in backend development, data modeling, and technical problem-solving within SAP environments. Eager to contribute to complex implementations and continuously expand technical expertise. Passionate about learning new SAP technologies and contributing to efficient enterprise solutions. PROFESSIONAL EXPERIENCE

Sony India Software Centre June 2025 - Present

Software Engineer Intern – SAP ABAP

• Developed and delivered 5+ RICEF objects in SAP S/4HANA across MM (Logistics/Procurement), SD (Sales & Distribution), and MDG modules, supporting multiple CRQs and business requirements.

• Resolved 10+ production incidents through advanced debugging and root cause analysis, reducing recurring defects.

• Led ATC remediation during SAP S/4HANA upgrade, refactoring 40+ HANA-incompatible custom objects to ensure compliance and performance optimization.

• Designed and optimized 5+ CDS Views and implemented RAP-based Business Objects to build scalable OData services.

• Built and enhanced OData services for SAP Fiori applications using CDS and SADL framework, improving real-time reporting efficiency.

• Collaborated with functional consultants for requirement analysis, prepared TDDs, conducted unit testing, following structured code review checklists and managed transport requests across DEV, QA, and PRD landscapes. PROJECT EXPERIENCE

SIGMA Greenfield Implementation Project – SAP S/4HANA June 2025 – Present

• Contributed to the SIGMA Greenfield SAP S/4HANA implementation for Sony Semiconductor Business in Japan to support factory operations.

• Assisted in implementing SAP to enable end-to-end business processes including procurement, production, sales, accounting, and asset management.

• Supported the integration of multiple SAP modules to ensure smooth execution of day-to-day factory operations within the SAP system.

• Collaborated with teams to help establish a new SAP environment designed to streamline and support factory business processes.

Insect Pest Image Recognition and Early Maturity Stage Classification December 2023 - May 2024

• Languages: Python, HTML, CSS

• Techniques: Convolutional Neural Network (CNN), Few-Shot Learning.

• Implemented a few-shot machine learning approach to develop an image recognition system capable of identifying insect pests and their maturity stages using minimal training data.

• Structured and curated a dataset of 6,900 images, covering 90 adult and 45 early-stage insect classes, achieving 89% classification accuracy.

• Contributed to the development of an AI-driven pest management tool, enabling early pest detection and improving crop protection effectiveness for farmers.

TECHNICAL SKILLS AND CERTIFICATION

SAP Technologies: SAP ABAP (Core ABAP, RICEF), SAP S/4HANA, CDS Views, RAP (RESTful ABAP Programming), OData Services, AMDP, DDIC, ATC/SCI

Programming Languages: Java, SQL, JavaScript

Web Technologies: HTML, CSS

Tools & Environment: SAP GUI, Eclipse (ADT), SAP Logon. Certification: SAP ABAP CORE DATA SERVICES (CDS VIEWS) FOR S/4 HANA. EDUCATION

B.E- Computer Science & Engineering 2020 - 2024

Mangalore Institute of Technology & Engineering CGPA :7.78

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