KomorebiDATA
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DATA ENGINEERING / ANALYTICS / AI

Reliable data.
Clearer decisions.

Bring scattered systems, conflicting metrics, and slow reporting into focus.

Komorebi designs and builds data platforms your business can trust—from the first pipeline to analytics and practical AI.

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Hands-on consulting. From architecture to implementation.

Reliable foundationsData you can depend on

Shared definitionsMetrics that mean the same thing

Clear ownershipSystems your team can operate

01 / SERVICES

Make your data
work together.

Fix a specific bottleneck or modernize the full path from source systems to business decisions.

01

Data engineering

Connect fragmented sources and build dependable pipelines, warehouses, and lakehouses.

  • ETL / ELT & incremental processing
  • Cloud architecture & modernization
  • Data quality & observability
02

Analytics engineering

Turn raw data into reusable models and consistent business definitions.

  • Dimensional modeling & dbt
  • KPI definitions & metric frameworks
  • Shared transformation logic
03

BI & semantic architecture

Replace report sprawl and conflicting measures with governed, efficient analytics.

  • Power BI & semantic models
  • Performance optimization
  • Governed self-service reporting
04

AI & automation

Build useful AI workflows on a foundation of trusted data and controlled access.

  • RAG & enterprise knowledge retrieval
  • Natural-language analytics
  • LLM integrations & workflow automation

DATA TALENT & TECHNICAL SCREENING

Find the people
who can do the work.

Build a stronger data team without spending weeks on sourcing and technical interviews. Komorebi helps you find and assess candidates for your company.

FIND

Connect with relevant data talent.

Define the skills your team needs and find candidates in data engineering, analytics engineering, business intelligence, and related data roles.

ASSESS

See practical skills in action.

Use hands-on assessments shaped around the role to evaluate how candidates solve problems, work with data, and explain their decisions.

SCREEN

Make better-informed hiring decisions.

Get technical screening and clear feedback on strengths, gaps, and role requirements—so your team can focus its interview time on the most relevant candidates.

Discuss your hiring needs

From candidate sourcing to technical evaluation. Your team makes the hiring decision.

02 / SELECTED EXPERIENCE

Built in the real world.

Representative founder experience in enterprise environments, distinct from Komorebi client engagements.

ENTERPRISE ANALYTICS

Consistent reporting across business units.

Curated datasets, reusable semantic models, and standardized KPI logic for large, multi-business environments.

Power BI / SQL / DAX

CLOUD MODERNIZATION

Operational data, connected to the cloud.

ETL/ELT workflows that bring multiple source systems into centralized, curated analytics environments.

Databricks / Delta Lake / Python

PRACTICAL AI

Enterprise knowledge, easier to use.

Natural-language analytics and retrieval workflows grounded in business context, governance, and access controls.

RAG / LLM integration / Enterprise search

03 / APPROACH

Start with the decision.
Build what supports it.

Good architecture makes the system easier to understand, maintain, and extend. That guides every engagement.

  1. 01

    Understand the problem

    Map your business questions, workflows, constraints, and gaps in trust.

  2. 02

    Design the foundation

    Define the data path, ownership, reusable models, and target architecture.

  3. 03

    Build for everyday use

    Deliver with testing, documentation, monitoring, and clear deployment practices.

  4. 04

    Enable what comes next

    Extend the foundation into self-service analytics, automation, and practical AI.

WAYS TO WORK TOGETHER

A clear place to start.

Scope is shaped around your environment and the outcome you need.

ASSESS

Architecture assessment

Understand the current environment and leave with a prioritized modernization roadmap.

MODERNIZE

Data platform modernization

Rebuild pipelines, data layers, and engineering practices around a scalable architecture.

STANDARDIZE

BI & semantic modernization

Resolve duplicated measures, slow models, and inconsistent reporting definitions.

PREPARE

AI data readiness

Assess use cases, retrieval, governance, and the foundation needed for implementation.

04 / ABOUT KOMOREBI

Practical thinking.
Hands-on delivery.

Komorebi bridges enterprise data engineering and the analytics people depend on every day.

Architecture and implementation stay connected. The focus is on understandable, testable, secure systems your team can operate after handoff.

Every technology choice serves the business problem, with clear ownership and reusable components built in.

TOOLS THAT SUPPORT THE WORK

Platforms
Azure · AWS · Databricks · Snowflake
Transformation
SQL · Python · PySpark · dbt
Analytics
Power BI · Semantic models · DAX
Delivery
Airflow · Git · CI/CD · Testing
AI enablement
RAG · LLM workflows · Enterprise search

LET’S TALK

What would better data
make possible?

Tell us what you’re building, what’s getting in the way,
and what a successful outcome looks like.

Discuss your project