Service
Data Engineering & Pipelines
We help you get operational data out of source systems and into Snowflake or AWS on a schedule the business can defend — not a brittle job that only the last engineer understands.
The work
How we help
Most reporting and AI failures start before the warehouse. Files land late, CDC drops deletes, APIs change shape, and orchestration hides the failure until close. Havilah Technologies LLC designs and delivers the pipelines that sit between those sources and a warehouse your team can operate.
We work in your cloud and your git. The work is a named workstream: which sources, which grain, which SLA, and who owns the runbook when we leave.
When this is the engagement
Source systems exist, reporting is late or brittle, and no one owns the path from ERP, files, or APIs into the warehouse.
Contracted and invoiced by Havilah Technologies LLC. Delivery in your warehouse and your git.
- 01Map source systems (ERP, CRM, files, APIs, events) to a landing and staging design your warehouse can actually load.
- 02Build batch and near-real-time ingest, including change data capture where the source supports it.
- 03Stand up orchestration — Airflow, dbt Cloud jobs, or AWS-native scheduling — with alerting that fails loudly.
- 04Document recovery: what to rerun, what not to backfill, and who is on the page when a job breaks at close.
- 05Hand over runbooks in your environment so the pipeline is yours, not a black box we operate from the outside.
Typical work
What an engagement looks like
01
Source-to-warehouse design
Inventory of systems, extract patterns, landing zones, and a written ingest architecture before code is the first deliverable.
02
Pipeline build
ELT/ETL implementation for priority domains — customers, orders, inventory, finance — with tests on volume, freshness, and keys.
03
CDC and incremental loads
Correct handling of inserts, updates, and deletes so the warehouse matches the operational system at close, not last Tuesday.
04
Reliability and operations
Orchestration, alerting, SLAs, and runbooks so a failed job is an incident with an owner — not a surprise in the board pack.
What you receive
Deliverables
- Documented ingest paths with named owners
- Orchestration that fails loudly and recovers cleanly
- CDC behavior you can explain at close
- Runbooks in your environment
Capabilities
In scope
- ETL / ELT from ERP, CRM, files, APIs, and event streams
- Batch and near-real-time ingest, including CDC
- Orchestration (Airflow, dbt Cloud jobs, AWS-native scheduling)
- Pipeline reliability, alerting, and runbooks in your environment
Related services
dbt, SQL & Transformation
We build and refactor the dbt and SQL layer that turns landings into certified marts finance and operations can both use.
Cloud Data Platforms
We design, migrate, and tune Snowflake and AWS so the platform matches the workload — roles, performance, cost, and security.
Data Integrity, Quality & Governance
We put tests, lineage, owners, and reconciliation in place so accuracy holds after delivery — at close, audit, and in regulated programs.
Discuss Data Engineering & Pipelines.
Data Engineering & Pipelines is contracted under Havilah Technologies LLC. Tell us the stack, the systems, and the outcome.