Databricks & lakehouse engineering
Lakehouse design on Delta Lake, Unity Catalog, Lakeflow pipelines and Spark performance, on a new or an existing Databricks platform.
Start an inquiry about Databricks & lakehouse engineeringContact
Let's Build What's Next.
Describe the platform, the goal and the constraints. Every message is read by the founder, a senior data architect, who replies personally.
Email directly
hello@We aim to reply within two business days. The reply comes from an engineer, not a sales team.
Start a project inquiry
A few sentences are enough to start. The structure below makes sure the first reply can get straight to the point.
Your email draft
Your mail app should open with this message, ready to review and send. If nothing opened, or you use webmail, copy the parts below into a new email. Some mail apps shorten very long messages, so check the draft before sending.
- hello@byteloomconsulting.com
What happens next
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You send a short note
A few sentences on the platform, the goal and the constraints are enough. There is no need for a formal brief.
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An engineer replies
The founder, a senior data architect, reads every inquiry and replies personally, usually with a few clarifying questions. We aim to reply within two business days.
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A focused first conversation
A short call about the current platform, what a good outcome looks like and what stands in the way. It is a technical conversation, not a sales presentation.
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A written proposal, if it is a fit
Scope, approach, milestones and assumptions in writing, so you can judge the plan before committing. If ByteLoom is not the right fit, you will hear that early.
Keep the first message high level
Please do not send credentials, personal data or confidential client material in a first message. Detail can follow once both sides have agreed how it will be handled.
How messages are handledTopics
What to get in touch about
Pick the closest fit on the form, or choose Something else. The topic only helps the first reply get to the point.
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ETL migration & data platform modernization
Moving legacy ETL, including Talend, and warehouse workloads to the lakehouse, with reconciliation evidence and a cutover plan.
Start an inquiry about ETL migration & data platform modernization -
Cloud & data architecture
AWS data platform foundations, security and access design, and infrastructure as code with Terraform.
Start an inquiry about Cloud & data architecture -
AI engineering & observability
Retrieval-augmented and LLM applications on governed data, with MLflow, evaluation and production observability.
Start an inquiry about AI engineering & observability - In development
Lakehouse Health Check (early access)
A structured assessment of a Databricks environment, currently in development. Register interest to hear when it is available.
Start an inquiry about Lakehouse Health Check (early access) -
Something else
A second opinion on an architecture, a question about an article, or anything that does not fit the list.
Start an inquiry about Something else
Partnership or subcontracting
For Databricks account teams and system integrators
Account executives, solution architects and system integrators are welcome to get in touch about specialist delivery capacity for lakehouse, migration and governance work. The founder holds an individual Databricks Resident Solutions Architect qualification through the Databricks Delivery Provider Program. ByteLoom itself is an independent consultancy and is not a Databricks partner.
Not ready to write yet
Prefer to read first
See how the practice approaches the work before you get in touch.
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Services
Databricks and lakehouse engineering, platform modernization, cloud and data architecture, and AI engineering.
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Technical insights
Articles on legacy ETL migration, Unity Catalog governance, Spark compute costs and AI observability.
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About the practice
How ByteLoom works, why it is deliberately small and senior, and the background of the founder.