You will get an automated ETL data pipeline to automate your data integration workflows
Project details
You will get a robust, production-grade ETL/ELT data pipeline built in Python and optimized for clean, reliable data delivery. Whether you need to extract data from complex third-party APIs or clean up messy internal datasets, I engineer automated workflows that turn raw data into structured, reporting-ready databases.
My pipelines are built using professional architecture standards, including multi-stage Medallion configurations (Bronze, Silver, Gold data layers) to guarantee data integrity.
What I bring to your project:
• Clean, modular, object-oriented Python scripts.
• Seamless third-party REST API integration and nested JSON parsing.
• Robust data validation, custom schema enforcement, and error handling.
• Optimized relational database targets (PostgreSQL, MySQL, SQLite) or high-performance local file storage (Parquet, CSV).
I focus on writing clean, well-documented code so that your workflows run autonomously and scale effortlessly as your business grows. Let's automate your data today!
My pipelines are built using professional architecture standards, including multi-stage Medallion configurations (Bronze, Silver, Gold data layers) to guarantee data integrity.
What I bring to your project:
• Clean, modular, object-oriented Python scripts.
• Seamless third-party REST API integration and nested JSON parsing.
• Robust data validation, custom schema enforcement, and error handling.
• Optimized relational database targets (PostgreSQL, MySQL, SQLite) or high-performance local file storage (Parquet, CSV).
I focus on writing clean, well-documented code so that your workflows run autonomously and scale effortlessly as your business grows. Let's automate your data today!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 20 days |
Number of Revisions | 2 | 3 | 5 |
Source Code |
Frequently asked questions
About Xavier
Data Engineer | Production-Grade Python & SQL ETL Pipelines
Jenjarum, Malaysia - 11:10 am local time
I architect production-grade data engineering solutions not the kind that look good in a demo and fall apart next Tuesday, but the kind that are modular, scalable, and completely automated.
What I Can Build For You :
Custom ETL/ELT Pipelines
End-to-end data processing using multi-stage Medallion architectures (Raw → Clean → Enriched).
Robust API Integrations
Reliable ingestion of deeply nested JSON schemas from complex third-party web endpoints.
Database Optimization
Reusable connection pool connectors built for high-throughput, reliable integration (PostgreSQL, SQL Server).
Data Quality Governance
Automated validation layers and schema registries using Pytest to catch bad data before it reaches your database.
My Technical Stack
Languages: Python (OOP, Async), SQL (complex queries, optimization)
Infrastructure: PostgreSQL, Docker, Apache Airflow, AWS S3
Practices: Medallion architecture, schema validation, data quality testing
I care deeply about code that is readable, thoroughly documented, and easy to maintain. If your current data stack is scattered, your pipeline is fragile, or you need a developer who takes messy data seriously send me a message and I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Xavier can start the project.
Delivery time starts when Xavier receives requirements from you.
Xavier works on your project following the steps below.
Revisions may occur after the delivery date.
Data Source & Architecture Analysis
I review your data sources, API documentation, or sample files to map out the schema and pipeline architecture.
Pipeline Development & Local Testing
I write the core Python scripts, configure the ETL/ELT logic, and run local validation tests using mock data.