You will get Fix Kafka / Real-Time Data Pipeline Issues (Lag, Errors, Delays)
Project details
I help diagnose and fix real-time data pipeline issues involving Kafka, streaming systems, and data ingestion.
If you're experiencing:
Consumer lag or slow processing
Message delays or retries
Pipeline instability or failures
Backpressure or throughput issues
I will identify the root cause and provide a clear, practical fix.
I focus on solving real problems quickly so your data flows reliably again.
If you're experiencing:
Consumer lag or slow processing
Message delays or retries
Pipeline instability or failures
Backpressure or throughput issues
I will identify the root cause and provide a clear, practical fix.
I focus on solving real problems quickly so your data flows reliably again.
Database Type
MySQL, PostgreSQLWhat's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 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 - 1:15 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.
Issue Review & Context Gathering
Review your pipeline architecture Analyze logs, errors, and symptoms Understand current setup
Root Cause Diagnosis
Identify source of lag, failure, or instability Check Kafka configuration, consumers, and throughput Pinpoint exact issue