You will get I will build an end-to-end cloud data pipeline
Project details
You'll get a complete, working cloud data pipeline — from automated ingestion through transformation to a reporting-ready warehouse and dashboard. I'm a Data Engineer who builds the whole stack using SQL, Python, dbt, Airbyte and Snowflake or AWS, so your raw data ends up as clean, trusted insight without manual effort. I start by mapping your sources and the outcomes you need, then build each layer to be reliable, documented and easy to maintain. You get the pipeline, the transformation code, the warehouse model, a dashboard where relevant, full documentation and a handover. This is ideal if you're setting up your data stack properly for the first time and want it done right, in a way your team can run and extend.
Database Type
PostgreSQL, MongoDB, Realm DatabaseWhat's included
| Service Tiers |
Starter
$250
|
Standard
$550
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Frequently asked questions
About Donald
Data Engineer | SQL, Python, Snowflake, AWS & Power BI
London, United Kingdom - 9:24 am local time
I'm a UK-based Data Engineer who designs and builds end-to-end data pipelines, cloud data warehouses and reporting solutions using SQL, Python, Snowflake, dbt, AWS, Airbyte and Power BI.
Recent projects I've built:
- Retailio — an end-to-end cloud pipeline ingesting 10,000+ product records and 9,900+ sales records into Snowflake for analytics and reporting.
- Bridgestone Retail — a dimensional Snowflake + dbt data warehouse feeding Power BI dashboards for sales reporting.
- NorthBridge IMS — reporting pipelines and a warehouse model for incident data (tickets, clients, agents and SLAs).
- A self-service, metadata-driven ETL framework in Python with pipeline monitoring and reusable ingestion logic.
I specialise in ETL/ELT development, dimensional data modelling, data cleaning and validation, and building dashboards stakeholders actually use.
Services I offer:
- SQL development & query optimisation
- Python data engineering & automation
- ETL & ELT pipelines
- Snowflake data warehousing
- dbt data modelling
- AWS / cloud ingestion with Airbyte
- Power BI dashboards
- Data cleaning, validation & CSV/Excel processing
Whether you need a pipeline built, data cleaned, or a dashboard that finally makes sense, I deliver well-documented, maintainable solutions and clear communication throughout.
Message me with what you're working on and I'll tell you honestly how I can help.
Steps for completing your project
After purchasing the project, send requirements so Donald can start the project.
Delivery time starts when Donald receives requirements from you.
Donald works on your project following the steps below.
Revisions may occur after the delivery date.
Map sources and design the stack
I map your sources and outcomes, then design the pipeline and warehouse.
Build ingestion, transforms and model
I build automated ingestion, transformations and the warehouse model.