Is this for you?
- You run an audio, music, or media platform with messy catalog data.
- Ingestion is a pile of cron jobs nobody fully trusts.
- Duplicates, missing metadata, or character encoding problems are in production.
- Downstream teams (search, recommendations, billing) routinely complain about data quality.
What you get
- Current-state architecture diagram.
- Data quality assessment with specific defect categories and frequency.
- Normalization and deduplication strategy recommendation.
- Observability recommendations — what to monitor, where to alert.
- Prioritized remediation plan with effort estimates.
- 60-minute walkthrough.
Scope
What's in
- Ingestion architecture review
- Data quality assessment
- Normalization and deduplication strategy
- Observability design
What's out
- Performing the remediation
- Downstream systems (search, recommendations) — see related services
- Rights and licensing logic beyond what affects ingestion
- Full platform rearchitecture
Process
Intake
Day 1Kickoff, access to repo, sample data, pipeline dashboards, intro to team.
Discovery
Days 2–7Pipeline trace, sample data analysis, defect category identification, stakeholder interviews.
Analysis
Days 8–12Remediation design, observability planning, prioritization.
Report
Days 13–17Draft, review, finalize.
Walkthrough
End of engagement60-minute call with your team.
Pricing
50% to start, 50% on report delivery. Includes one 30-minute follow-up call within 30 days of delivery.
One fixed price. No surprises, no “starting at” language. If we agree on scope and you pay the deposit, the engagement is locked in.
Questions
Do you work on non-audio platforms?
Yes — the patterns translate. Audio is where my deepest experience is; the methodology is the same.
Do you implement the fixes?
Separately, yes.
Will you sign an NDA?
Yes.
What access do you need?
Repo read access, sample data (sanitized is fine), pipeline dashboards, and 3–4 hours of engineering time across the engagement.
About
I've built and scaled content ingestion for audio and music platforms — catalog, automated image processing, metadata, rights-aware delivery, search indexing. The review is domain-specific, not generic data-pipeline advice.
More about the studioReady to start?
Book an intro call. If we're not a fit, I'll tell you on the call.