Ways to work together
Services
Three bounded engagements. Each one lists what it produces and where it stops. The linked case study shows the same kind of work in the public repositories.
01–03What I can help you build
Narrow by design. The boundary is part of the offer.
01
Dashboard & reporting systems
- Who this is for
- Teams working from marketplace, finance or operations exports that do not yet give one consistent view.
- The problem
- Numbers live in several exports with different columns, statuses and periods, so every report is rebuilt by hand.
- What you provide
- Representative exports, field definitions, the reporting questions that matter and data-owner context.
- What may be delivered
- A cleaned reporting layer with documented transformations
- A dimensional model and a documented measure register
- A focused dashboard or a handover reporting register
- Where it stops
- A dashboard cannot repair missing source history or prove a business outcome on its own.
02
Data pipelines & operational automation
- Who this is for
- Operations and finance teams with a repeated, fragile spreadsheet process that needs to become auditable.
- The problem
- Repeated data handling needs explicit validation, recoverable runs and a single inspectable source of truth.
- What you provide
- Sample inputs, expected outputs, known failure cases, access constraints and ownership rules.
- What may be delivered
- A bounded transformation pipeline with validation tiers
- Idempotent loading and preserved audit records
- Tests and handover documentation
- Where it stops
- Automation scope depends on stable inputs, permitted access and agreed exception handling; it does not replace human review.
03
Analytics engineering & data modeling
- Who this is for
- Teams needing structured SQL analysis modules, conformed star schemas, and auditable metrics across datasets.
- The problem
- Disorganized queries and siloed spreadsheets create conflicting metrics and unrepeatable reporting.
- What you provide
- Table schemas, calculation specifications, business definitions, and reporting requirements.
- What may be delivered
- Conformed dimensional models (Facts & Dimensions)
- Tested SQL analysis modules and documented measure registers
- Data dictionary and schema relationship mapping
- Where it stops
- Analytics models require accessible database tables and confirmed domain rules; they reflect source data quality.