You will get Realtime Data Analytics Pipeline Kinesis, Lambda, Dynamodb & Python
Project details
This project builds a real-time data analytics pipeline leveraging event-driven architectures on AWS. Streaming IoT, energy usage, and AI workflow data will be captured in real-time via Kinesis and processed using serverless Lambda functions written in Python. Processed insights will be stored in DynamoDB for quick retrieval and analysis. The fully serverless, horizontally scalable design aims to efficiently handle high volumes of data with low latency. Developers proficient in AWS, streaming analytics, and Python are sought to implement the event-driven workflow, develop the Lambda functions for data transformation and validation, integrate with downstream databases, and deploy the serverless architecture.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 3 | 5 | 7 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 3 |
About ABU MOHAMMAD
Modern Data Platform Engineer
Dhaka, Bangladesh - 2:23 pm local time
Steps for completing your project
After purchasing the project, send requirements so ABU MOHAMMAD can start the project.
Delivery time starts when ABU MOHAMMAD receives requirements from you.
ABU MOHAMMAD works on your project following the steps below.
Revisions may occur after the delivery date.
Milestone 1: Project Kickoff & Requirements Gathering
✅ Define project scope, data sources, and objectives ✅ Gather access credentials (APIs, databases, cloud storage) ✅ Confirm infrastructure preferences (AWS, GCP, Snowflake, etc.) ✅ Create a detailed project roadmap & timeline