You will get your data pipeline ready to power forecasting or ML models
Project details
Most ML and forecasting projects fail not because of the model, but because of the data underneath it — duplicates, missing history, inconsistent grain, or no automated refresh. I'll build or rework your pipeline so it's clean, automated, and structured correctly to feed a forecasting or ML model reliably.
I've done this end-to-end on a live product — building an automated pipeline that feeds a forecasting model, including catching and fixing a data quality bug that was silently inflating model inputs by 2-4x before it ever reached the model. This is the unglamorous but essential layer underneath any AI/ML initiative, and it's where most projects quietly go wrong.
I've done this end-to-end on a live product — building an automated pipeline that feeds a forecasting model, including catching and fixing a data quality bug that was silently inflating model inputs by 2-4x before it ever reached the model. This is the unglamorous but essential layer underneath any AI/ML initiative, and it's where most projects quietly go wrong.
What's included
| Service Tiers |
Starter
$500
|
Standard
$1,300
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Damien
Data Engineer | dbt | Snowflake | ELT Pipelines | Dashboards
Harrogate, United Kingdom - 11:05 pm 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 modelling goal, data sources, and historical depth with client
Audit
Audit existing data for quality issues (duplicates, gaps, inconsistent grain)