Manish V.

Manish V.

Expert Java, Spring, Database Developer with 12 years of experience

Lucknow , India

Experience: 12 Years

Manish

Lucknow , India

Expert Java, Spring, Database Developer with 12 years of experience

96000 USD / Year

  • Start Date / Notice Period end date: 2019-11-05

12 Years

Now you can Instantly Chat with Manish!

About Me

Thank you for taking the time to view my profile. I have qualified degree Bachelor of Technology(B.Tech) in Information Technology , 12+ years of industry experience in Software Development of enterprise-level applications(Web and Desktop) using J...

Show More

Portfolio Projects

Description

The legacy project is in IBM I RPG language and the requirement is to convert itinto modernized language using X-Analysis tool. Here I worked as a Tech Lead and handling a team of 10 – 12 developers of wide range of experience.Worked closely with RPG developers to understand existing code written in IBM I RPG tcreate a POC and re-develop the application using Spring framework.

Show More Show Less

Description

The project is about online advertising domain, also called digital advertising, which is a form of marketing and advertising, which uses the Internet to deliver promotional marketing messages to consumers.The advertising content used in online marketing is stored and delivered onto various digital platforms such as Websites, social media outlets and mobile apps with the help of an Ad Server.

Show More Show Less

Description

This application is a logistics domain application, and designed to cover the manage movement of goods within warehouse. Logistics is the management of the flow of resources between the point of origin and the point of consumption in order to meet some requirements, for example, of customers or corporations. KN has numerous warehouse across the globe, which could be used by various clients for inventory storage.

Show More Show Less

Description

The JWDS is receiving large volumes of unstructured rail sensor data (through HBD and WILD detectors) in form of flat files. Currently, these files are immediately copied to FTP server and then after parsing and passing through rules engine, the alarming data is saved in operational database DB2 after sending alerts to helpdesk users and rest data into archival database (5 years data), which is again DB2. The archival data is used by research users to study the trend analysis (analytics) to identify any possible failure in future.

Show More Show Less