You will get REST API application for data engineering visualization.

Saichandrasekar T.Status: Offline
Saichandrasekar T.

Let a pro handle the details

Buy Web Application Programming services from Saichandrasekar, priced and ready to go.
Saichandrasekar T.Status: Offline
Saichandrasekar T.

Let a pro handle the details

Buy Web Application Programming services from Saichandrasekar, priced and ready to go.

Project details

Data Dashboard with visualisation and filtering mechanisms. The front end is built using Angular. The middle tier is Java with Spring Boot Framework. Backend data is stored in the SQL database of the customer's choice.
Programming Languages
Python, Java, Go
Coding Expertise
Cross Browser & Device Compatibility, Design

What's included $100

These options are included with the project scope.

$100
  • Delivery Time 10 days
  • Number of Revisions 2
  • Number of Pages 3
    • Source Code
Optional add-ons You can add these on the next page.
Additional Page (+ 5 Days)
+$10
Design Customization (+ 10 Days)
+$100
Saichandrasekar T.Status: Offline

About Saichandrasekar

Saichandrasekar T.Status: Offline
AI ML Architect - RAG, LLM Agent Apps
Chennai, India - 1:46 am local time
I am a 15 yrs full stack developer in Java, python with AWS and Azure cloud experience. I have worked in building data engineering pipeline for batch and steam data. Apache Flink is my latest choice for my last project.

Technologies:
- Languages: Java, Python, Go
- Spring Boot: REST, Web, Data
- Apache Flink: Data Pipelines

Applications:
- Enterprise Microservice Applications
- Database Modelling & Design
- Data ETLs and Dashboard Visualisation
- Automation & Cloud Infrastructure

Steps for completing your project

After purchasing the project, send requirements so Saichandrasekar can start the project.

Delivery time starts when Saichandrasekar receives requirements from you.

Saichandrasekar works on your project following the steps below.

Revisions may occur after the delivery date.

Data Source, Sink and Transformation

Explain the data source, sink and transformation required for the data. Data schema and layout are mandatory for the execution.

Review the work, release payment, and leave feedback to Saichandrasekar.