You will get an automated data pipeline that delivers clean, analytics-ready data
Project details
I build automated data pipelines in Python that turn messy, scattered data into clean, analytics-ready datasets - reliably and on schedule. With 5+ years across AWS, Kafka, Spark, and dbt, I design pipelines that handle real volume, catch bad data before it spreads, and run hands-free with monitoring and alerting. Whether you need a simple source-to-warehouse sync or a production-grade ETL or streaming system, I deliver clean, documented code you can maintain and trust. Tell me your sources and the insights you need, and I'll handle the rest.
Database Type
MySQL, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$300
|
Standard
$650
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
About Sophie
Data Engineer | ETL Pipelines, AI/ML Systems, Kafka, Spark, Cloud
Hanoi, Vietnam - 11:16 am local time
I help companies turn messy, fragmented data into scalable, reliable, and production-ready data platforms that power analytics, AI, and real business decisions.
With 5+ years of experience across AWS, enterprise systems, and high-growth environments, I’ve built end-to-end pipelines processing billions of records, designed lakehouse architectures, and delivered AI-ready data systems. 
💡 What I can help you with:
• Build ETL/ELT pipelines (batch + real-time)
• Design data warehouses / lakehouse (S3, BigQuery, Iceberg)
• Implement Kafka, CDC (Debezium), streaming systems
• Clean, model, and validate data for analytics & dashboards
• Build AI/LLM-ready data pipelines (RAG, feature pipelines)
• Optimize pipelines for performance, cost, and reliability
⚙️ Tech Stack:
Python • SQL • Spark • Kafka • Airflow • AWS • GCP • BigQuery • Iceberg
🎯 What makes me different:
• I don’t just “move data” — I design systems that are reliable, scalable, and business-ready
• Strong at bridging engineering + analytics + AI
• Experience working with global teams and production systems
If you need someone who can own your data stack end-to-end and make it actually work in production, I can help.
Steps for completing your project
After purchasing the project, send requirements so Sophie can start the project.
Delivery time starts when Sophie receives requirements from you.
Sophie works on your project following the steps below.
Revisions may occur after the delivery date.
Design, build & test the pipeline
I map your sources, build and test the pipeline, schedule it, and deliver clean documented code that runs reliably and hands-free.