Data Engineering

What does a data pipeline audit cost and how long does it take?

Mitiksha's Data Pipeline Audit is $3,000 CAD, delivered in 1–2 weeks, and 100% of the fee is credited toward a build engagement started within 90 days. It maps where your data lives, identifies breakage points, and hands you a prioritized remediation roadmap.

What is data engineering and why does it matter for my business?

Data engineering builds the modern data infrastructure that transforms raw data into reliable, scalable pipelines powering business decisions. Without it, analysts and BI tools inherit dirty or late data, and reports fail silently until someone catches the error downstream.

We already have engineers — why would we need an outside audit?

Your engineers know your systems, but an outside audit brings perspective on what the pipeline architecture should look like versus what it grew into organically. The audit surfaces patterns that work fine today but fail at higher data volume, typically for less than the cost of one engineer-sprint.

What data engineering services does Mitiksha provide?

The Data Engineering pillar covers Data Architecture (warehouses, lakes, and mesh design), Data Pipeline Consulting (ETL/ELT), Dashboard Engineering, and Hypercare Support & Administration for post-deployment reliability.

Is now a bad time for a data audit if we're mid-migration to a new platform?

Mid-migration is actually the best time. The architectural patterns embedded in a new data platform are hard to change later, so an audit during migration catches assumptions before they become technical debt in the new stack.