srivatsava labhishetty

srivatsava labhishetty

Hyderabad, India

srivatsava labhishetty

SAP CPI, SAP API Management
am an SAP CPI (Cloud Platform Integration) Consultant with 2.8 years of hands-on experience in designing, developing, and deploying integration solutions on SAP Business Technology Platform (BTP).
My expertise includes building iFlows, API Management, SOAP/REST/OData integrations, and working with data formats like XML and JSON. I specialize in connecting SAP and non-SAP systems seamlessly using Groovy scripting and standard CPI adapters.
I support my clients from requirement gathering to go-live, ensuring secure, scalable, and high-performance integrations tailored to their business needs. Whether you need a new integration built from scratch, an existing one optimized, or API policies configured — I deliver reliable solutions on time.
Let's connect your systems and streamline your business processes efficiently!

Working hours

  • Monday:10h00 To 18h00
  • 13h00 To 14h00
  • Tuesday:08h00 To 18h00
  • 13h00 To 14h00
  • Wednesday:08h00 To 18h00
  • 08h00 To 14h00
  • Thursday:08h00 To 18h00
  • 08h00 To 14h00
  • Friday:08h00 To 18h00
  • 08h00 To 14h00
  • Saturday:12h00 To 19h00
  • 15h15 To 16h15
  • Sunday:Not available
Currently working as an SAP CPI Consultant at Intagrit Technology since April 2023, with 2.8+ years of experience in end-to-end integration development on SAP Business Technology Platform (BTP). Responsible for designing and developing iFlows, configuring API Management policies, and building SOAP, REST, and OData-based integrations between SAP and third-party systems. Proficient in Groovy scripting, XML/JSON message transformations, error handling, and monitoring integration flows. Collaborated with cross-functional teams to gather requirements, deliver scalable integration solutions, and ensure seamless data exchange across enterprise systems.
Completed B.Tech in Mechanical Engineering from Guru Nanak Institutions and Technology (2019–2023), with a Minor Degree in Artificial Intelligence and Machine Learning. Gained strong fundamentals in engineering principles, design, and manufacturing, complemented by hands-on knowledge in AI/ML concepts including data modeling, supervised learning, and intelligent systems. This interdisciplinary background bridges traditional engineering with modern technology, enabling a unique analytical and problem-solving approach.
0.0 (0)
0
0
0
0
0
⚠️
Please sign in as a customer to give your feedback

    Need a service ?

    Do you want to hire the services of this Professional ?

    Post your need and you will receive dozens of proposals from the Professionals of the community.