Rishabh Lakshkar

Leading back‑end development of Data Fabric at UiPath, focusing on scalability, performance, and reliability. Responsible for feature development, including end to end low level and high level design. Enable Data Fabric to empower our users to build automations on top of data from any external data source outside UiPath, with zero‑copy access, providing greater flexibility and control. Optimising the consumption layer of Data Fabric to enhance integration performance and resource efficiency. Developing integration Activities to connect Data Fabric with other first‑party UiPath services, streamlining cross‑service communication. Technologies Used: C#, .NET, JAVA, SpringBoot, REST APIs, Docker, Kubernetes, CI/CD tools (Azure DevOps)

Led the IT‑Automation team, providing technical direction and mentorship to team members. Designed and developed custom activities for the UiPath Automation Platform to enhance automation capabilities. Integrated Connection Service into legacy activities, enabling modern authentication as an alternative to vendor SDKs. Migrated legacy activities to Dynamic Activities, leveraging vendor REST APIs and eliminating dependency on SDKs for better maintainability and performance. Technologies Used: C#, .NET, JAVA, SpringBoot, REST APIs, UiPath, Azure, AWS, GCP

Worked on the Return Transportation Service Team at Amazon, responsible for managing global return logistics for the Amazon Global Store. Led the launch of Return Transportation System for the Sweden and Poland marketplaces, expanding global return capabilities. Enabled multiple return modes within the system to improve flexibility and user experience. Contributed to enhancing the scalability and reliability of return operations for new international markets.

Working in a project of Apache Spark based reliable data ingestion system. This system built on Micro Service based architecture to make ingestion system automated and reliable. Technology used - Scala,Java,Spark,Hadoop,AWS, Play Framework. Roles and Responsibility - 1 - Developed end to end Rest Api for meta data store using Scala and Play Framework. 2 - Completely refactor the scheduler service to remove the dependency of AWS Lambda function and making it Cloud Agnostic scheduler service. 3 - Done various enhancement in spark ingestion module and source connector for making ingestion process more optimise. 4- Having an experience of working with MVC architecture.