Saloid's Data Engineering & Analytics practice builds server-side tracking, consent implementations (OneTrust, Usercentrics), ETL/ELT pipelines, and data quality frameworks that are GDPR-native and audit-ready.
Data you can trust.
Pipelines that don't break.
Fix your data pipeline The problem
Data is everywhere and trusted nowhere. Tracking leaks to third parties. Pipelines break on Mondays. Analysts don't trust the warehouse. Nobody knows which numbers are right.
Symptoms
- Dashboards show different numbers depending on who pulls them and when
- Consent management is a checkbox exercise, not a real implementation
- Pipeline failures discovered by end users, not by automated monitors
- Third-party scripts making calls to domains you never approved
- Data team spends 80% of their time cleaning, 20% thinking
Our approach
Audit
Full tracking and pipeline audit. Every tag, consent flow, event, and data path documented. We find what's broken before we touch anything.
Architecture design
Server-side tracking, consent layer (OneTrust/Usercentrics), clean tagging architecture. Privacy-first from the ground up.
Pipeline build
ETL/ELT with data quality checks at every stage. dbt tests, freshness monitors, Great Expectations assertions. When something breaks, you know in minutes.
Quality & governance
Automated quality gates, documentation, and handover. Your team can maintain and extend the pipeline without us.
Outcomes
70%
Faster time-to-insight
Zero
Cookie banners needed
4–8 wk
Typical pipeline fix
Audit-grade
Data quality
Tech stack
GA4 / Server-side GTMOneTrustUsercentricsFunnel.ioSparkAWS GlueSnowflakedbtFivetranGreat ExpectationsAirflow Frequently asked
What is server-side tracking and why is it better for GDPR? +
Can you fix existing pipelines without rebuilding? +
How do you ensure data quality? +
Other disciplines
Ready to fix your data stack?
20 minutes. No slides. We'll tell you what we'd do, what it costs, and whether you actually need us.