OMS consultant with 8+ Years of experience in Supply chain domain. Well-versed in customization of IBM Sterling Order Management and Sterling Call Center with industry best practices. Experienced in implementation and enhancement of Order Management system. Hands-on experience on IBM Sterling OM
9.x and OMoC(Order Management on Cloud) suites.
Core Java
US Foods - Food Distributor(On-Premise) :
Helped client to integrate Sterling OMS as order orchestration system into existing Legacy system.
Role : OMS developer
Responsibilities:
Environment: OMS 9.4, WebSphere, Oracle DB
Languages: JAVA, XSLT
Charlotte Russe - Fashion Retailer(OMOC):
This project was part of IBM manged services. Involved in customization of Call Center and Order Management system.
Role : OMS developer
Responsibilities:
Environment: Order Management On Cloud 17.3, WebSphere, IBM DB2, UCD
Languages: JAVA, XSLT
Tory Burch - Fashion Retailer(OMOC) :
This project was part of IBM manged services. Involved in customization of Call Center and Order Management system.
Role : OMS developer
Responsibilities:
Environment: Order Management On Cloud 20.3, WebSphere, IBM DB2, SST
Languages: JAVA, XSLT
Marks & Spencers India - Fashion Retailer(OMOC Next-Gen) :
This project is migration of existing OMS to Sterling Order Management. Played a key role in successful implementation of Order fulfillment system.
Role : OMS Consultant
Responsibilities:
Environment: Order Management On Cloud 20.3, WebSphere, IBM DB2, SST
Languages: JAVA, XSLT
Petco - Pet Retailer(On-Premise) :
This project is migration of existing Yantriks Inventory Hub and Yantriks Commit system to blueyonder's Saas 360 inventory availability cloud solution. I led the team of 4 members to finish the successful migration within 5 months.
Role : OMS Consultant
Responsibilities:
Environment: OMS 9.5, WebSphere, Oracle DB, Git Lab, Jenkins
Languages: JAVA, XSLT
Data Engineering Platform - Xformics India Pvt. Ltd. :
Building Data Engineering platform for Retailers on Azure, which will be utilized for Data Source management and Data Science Team.
Role : Data Engineer
Responsibilities:
Environment: Azure, Azure Devops, Spark, Bit bucket, Azure Devops Git, Azure Data Factory, Azure Data bricks, Azure Storage, Azure Synapse, Delta Lakehouse, Delta Lake.
Languages: Python