Data Engineering at IRPR.io is the production plumbing that moves data from source to decision. Not dashboards — the infrastructure under them. Ingestion, warehousing, transformation, orchestration, and the reliability engineering that makes Tuesday-morning dashboards trustworthy.
Data that moves decisions.
Data Engineering · how we actually work.
We build modern data stacks (Fivetran / dbt / Snowflake / Looker) for teams that have outgrown SQL-in-Notion, and we refactor gnarly legacy pipelines into maintainable systems with typed schemas, lineage, and freshness SLAs.
Every pipeline we ship has dbt tests, Great Expectations checks, freshness monitors, PII classification, and documented lineage. Because pipelines that break silently are worse than pipelines that don't exist.
Pipelines, dashboards, and the modern data stack.
Data pipelines that don't break on Saturdays.
Engineering discipline, applied to data.
Data platform engagements.
Measurable outcomes, not 'data transformation.'
Data infrastructure: script-farm vs. platform.
- cron + python scripts
- no tests, no lineage
- silent failures
- manual schema changes
- weekend firefighting
- new hire onboards in weeks
- dbt + orchestrator
- tests + freshness SLAs
- alerts on failure
- typed schema contracts
- weekend-free on-call
- new hire onboards in hours
What we ship in this practice.
Modern data stack from scratch
Fivetran + Snowflake + dbt + Looker in 6–8 weeks. Production-ready, not a POC.
Legacy pipeline refactor
Cron + Python + tears → Airflow/Dagster + dbt + tested. Your weekend isn't eaten by pipeline failures anymore.
Event-driven pipeline
Real-time event streams (Kafka / Kinesis / Pub/Sub) into your warehouse. Streaming transformations. Sub-minute freshness.
Reverse-ETL rollout
Cleaned warehouse data back into Salesforce, HubSpot, Stripe, Intercom. Ops teams work on fresh numbers.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Tools we trust.
Data Engineering for your context.
Tailored entry points by industry vertical or US metro - each page is hand-tuned with the right keywords, compliance, and case studies.