You will get Build API to Kafka Pipeline for Real-Time Data Ingestion
Project details
I build real-time data ingestion pipelines that stream data from APIs into Kafka for downstream processing and analytics.
This is ideal if you need:
Continuous ingestion from REST APIs
Real-time data streaming into Kafka
Reliable, scalable ingestion pipelines
I design pipelines that handle data efficiently and remain stable under load.
The solution can be extended to databases, analytics systems, or streaming applications.
This is ideal if you need:
Continuous ingestion from REST APIs
Real-time data streaming into Kafka
Reliable, scalable ingestion pipelines
I design pipelines that handle data efficiently and remain stable under load.
The solution can be extended to databases, analytics systems, or streaming applications.
Database Type
MySQL, PostgreSQLWhat's included
| Service Tiers |
Starter
$80
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 0 | 0 |
Schema Diagram | - | - | - |
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
About Samuel
Kafka & Real-Time Data Engineer | Fix Pipelines, CDC, WebSockets
Nairobi, Kenya - 2:28 am local time
If you're dealing with:
Delayed or stuck data pipelines
Kafka consumer lag or backpressure issues
Broken CDC (data not syncing correctly)
WebSocket / real-time sync problems
Inconsistent or unreliable data in your systems
I can diagnose the root cause and give you a clear, practical fix.
What I do
Debug and stabilize Kafka-based pipelines
Build API → Kafka → Database ingestion systems
Implement CDC pipelines (MySQL → PostgreSQL and similar)
Resolve performance issues in real-time and near-real-time data flows
Design systems that handle high-volume data without constant failures
Relevant Experience
Built real-time ingestion pipelines from APIs into Kafka for downstream analytics
Implemented CDC pipelines using Kafka Connect and Debezium
Worked with distributed systems handling high-throughput event data
Designed low-latency data architectures for operational analytics
If you have a pipeline or real-time data issue, send me details — I’ll help you identify the problem and the best way to fix it.
Steps for completing your project
After purchasing the project, send requirements so Samuel can start the project.
Delivery time starts when Samuel receives requirements from you.
Samuel works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & API Review
Understand API structure and data format Define ingestion requirements Plan pipeline design
Pipeline Design
Design API → Kafka flow Define topic structure and data format Plan error handling