Make your data usable, not interpreted.

I build dependable pipelines that move, normalize, and deliver data into a consistent structure.

What I do

I build end-to-end data pipelines that move data from where it lives to where you need it, with consistent structure and repeatable runs.

In practical terms, I ship three things:

• Move data across systems
• Normalize it into a stable structure
• Deliver it with documentation and clean handoff

Services

• Source intake and inventory
• Extraction from databases, exports, spreadsheets, and apps
• Standardization of names, types, and keys
• Reconciliation of mismatches, duplicates, and missing links
• Pipeline automation, scheduling, and repeatable runs
• Documentation and handoff for operation after delivery

Deliverables

• A working pipeline with repeatable runs
• A defined data structure with explicit rules and assumptions
• A run path and a clear handoff
• Technical notes your team can maintain

How I work

• We agree on what data moves where and what "done" means
• I build the pipeline in a way that is runnable and maintainable
• I document the run steps, edge cases, and key decisions
• I hand it off cleanly

Tooling

Typical environments include:

• Microsoft SQL Server and SQL Server Integration Services (SSIS)
• Snowflake
• dbt

Fit

Good fit if:

• Data is spread across multiple systems
• Manual exports and repeated spreadsheet cleanup are routine
• IDs or categories do not line up across sources
• Someone on the team is stuck in break-fix work and cannot finish pipeline work

If you already have a data person, I can be a relief valve, not a replacement.

If you want bounded, documented pipeline work with a clear handoff, Contact RPW-Data.