Service
Data Engineering & Cloud Platforms
ERP, CRM, files, and APIs need a path into Snowflake or AWS that your team can run after we leave — with tests, a runbook, and a written scope.
Stack
SnowflakedbtPythonSQLAWSAirflowTableau / Power BIThe work
How we help
Most reporting failures start before the chart. Files land late, change data drops deletes, and the warehouse bill climbs while the number does not get better.
Havilah Technologies LLC designs and builds that path in your cloud and your git: ingestion, dbt or SQL transformation, and the Snowflake or AWS platform the workload actually needs.
When this is the engagement
The feed is late or incomplete, models disagree, or Snowflake and AWS cost is climbing without a better number.
Contracted and invoiced by Havilah Technologies LLC. Delivery in your warehouse and your git.
- 01Land ERP, CRM, files, and APIs into a warehouse design your team can operate.
- 02Build batch and incremental loads, including change data capture where the source supports it.
- 03Model the priority domains in dbt or SQL, with tests on grain, freshness, and keys.
- 04Lay out Snowflake or AWS roles, warehouses, and cost controls for the actual workload.
- 05Leave a runbook: what to rerun, what not to backfill, and who owns the job at close.
Typical work
What an engagement looks like
01
Source-to-warehouse design
Sources, grain, landing, and a written ingest architecture before code.
02
Pipeline and model build
Ingestion plus dbt or SQL models for the domains the business actually closes on.
03
Platform fit
Snowflake or AWS roles, warehouses, and access that match the workload.
04
Handoff
Repository, tests, and a runbook in your environment.
What you receive
Deliverables
- Code in your repository
- A runbook your team can follow at close
- Tests on volume, freshness, and keys
- Documented roles and warehouse layout
Capabilities
In scope
- Ingestion from ERP, CRM, files, and APIs
- dbt or SQL transformation with tests
- Snowflake and AWS platform design
- Runbooks and named owners at handoff
Questions
- Where does the work land?
- In your warehouse and your git. We do not take a copy of production home.
- What do we receive?
- The repository, tests, and a runbook: what to rerun, what not to backfill, and who owns the job.
- Do you stay on to operate it?
- Handoff is part of the statement of work. Ongoing help is a separate scoped engagement, not an open ticket queue.
- What if two reports already disagree?
- Start with the Contested Metric Diagnostic. Platform work follows the ruling if you want the fix built.
Related services
Analytics & AI-Ready Data
One metric layer, so reports and AI copilots pull from numbers the business has already agreed on.
Governance & Data Quality
Tests, lineage, and named owners, so accuracy holds at close, at audit, and after we leave.
Contested Metric Diagnostic
Two reports, two answers? We trace the metric to its source and give you a written ruling plus SQL you can re-run.
Discuss Data Engineering & Cloud Platforms.
Data Engineering & Cloud Platforms is contracted under Havilah Technologies LLC. Tell us the stack, the systems, and the outcome.