You will get your broken or unreliable data pipeline made into production-grade
Project details
Most pipeline fixes patch symptoms — a failed job gets retried, a missing row gets backfilled. I find the actual root cause. I've audited an 81-table replication system to fix a recurring production failure, and caught a data quality bug that was silently inflating model inputs by 2-4x before anyone noticed. You get a permanent fix, not a temporary patch.
What's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 0 | 0 | 0 |
Schema Diagram | - | - | - |
Permissions Setup | - | - | - |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - | - |
About Damien
Data Engineer | dbt | Snowflake | ELT Pipelines | Dashboards
Harrogate, United Kingdom - 11:27 am local time
Typical work I help with:
• Building or fixing data pipelines
• Data warehouse design and dbt transformations (Snowflake, BigQuery, Postgres)
• BI dashboards and reporting (Metabase, Looker, custom)
• Cleaning up messy or broken data infrastructure
• Data extraction and automation from APIs and source systems
I currently work full-time as a data engineer for a UK marketplace business, and independently I've built and run NatGas Edge, a data and ML platform for energy market analytics — covering everything from pipeline architecture to forecasting models.
I take on a small number of projects alongside my main work, so I'm responsive and focused rather than spread thin. Happy to start with a smaller piece of work to build trust before anything larger.
Steps for completing your project
After purchasing the project, send requirements so Damien can start the project.
Delivery time starts when Damien receives requirements from you.
Damien works on your project following the steps below.
Revisions may occur after the delivery date.
Review
Review symptoms, access, and any logs or error history provided
Diagnosis
Reproduce and isolate the failure to identify root cause. Confirm the diagnosis and proposed fix with client before implementing