Specialized Practice
Data Pipeline Modernization & ETL Refactoring
Refactoring brittle legacy ETL batch scripts into testable, observable, and modular data processing workflows.
Target Engineering Audience & Result
Who This Engagement Is For
Analytics and data platform teams struggling with multi-hour ETL failures, silent corrupted rows, and undocumented transformations.
Delivered Result & Outcome
Modular data transformation pipelines with embedded unit tests, schema contracts, and observable lineage.
Engagement Lifecycle
01. Legacy Code Deconstruction
Map all hidden business rules in stored procedures and SQL scripts.
02. Incremental Processing Model
Restructure pipelines around partition watermarks and stateless transformations.
03. Testing Harness Setup
Provide automated integration tests with mock data fixtures.
Service Logistics
Delivery Timeline:
4 weeks intensive review
4 weeks intensive review
Engagement Format:
Hands-on codebase refactoring sprints and architecture diagrams
Hands-on codebase refactoring sprints and architecture diagrams
Pricing Basis:
NT$ 260,000 / $8,500 USD per pipeline module
NT$ 260,000 / $8,500 USD per pipeline module
Lead Advisory Team:
Meilin Chen & Principal Database Architects
Meilin Chen & Principal Database Architects
Scope Boundaries
What Is Included:
- ✓ Transformation logic decomposition and clean code refactoring
- ✓ Data quality contract enforcement and anomaly alert hooks
- ✓ Incremental load modeling to replace heavy full-table scans
What Is Excluded:
- ✕ Third-party SaaS software licensing costs
- ✕ Data science model development
Inquire Regarding Data Pipeline Modernization & ETL Refactoring
Submit an architectural summary of your current database footprint to discuss scheduling, lead times, and scope requirements.
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