~/christopher $ whoami

Christopher Shehu

Senior Data Engineer building governed, AI-ready lakehouse platforms on Databricks and Azure.

about

Platforms that outlast the engagement.

I'm a Senior Data Engineer at Climb, a Databricks partner focused on modern data platforms and production AI. I own data engineering workstreams end to end, from requirements through design, build, deployment and handoff.

I came up self-taught: Epic analyst, then BI developer, then principal-level data engineer. Most of my work has been in regulated industries like healthcare and pharma, where governance and reliability aren't optional.

108 → 5

Metadata-driven pipelines

Consolidated 108 pipelines into 5 with a single reusable framework.

~80%

Less reporting overhead

Cut reporting overhead for a major hospital network.

Governance by design

Unity Catalog and Microsoft Purview for secure, compliant, discoverable data.

Built to hand off

CI/CD, clear standards and documentation so the next team can run it.

stack

What I build with

platform
DatabricksDelta LakeUnity CatalogLakeflow / DLTWorkflows
languages
PySparkSQLPython
cloud
AzureData FactoryPurviewGCP
modeling
Medallion architecturedbtDimensional modeling
delivery
Azure DevOps CI/CDDatabricks Asset BundlesGit
ai
LLM appsVoice AIn8nLocal models

certifications

Credentials

  • Databricks Certified Data Engineer Associate2026
  • Databricks UC Upgrade Delivery Specialization2026
  • Databricks Snowflake Migration: Preparation, Assessment, Execution2026
  • Databricks Generative AI Fundamentals2024
  • Microsoft Certified: Azure Fundamentals2021
  • CompTIA Project+lifetime

side projects

Things I build after hours

Tessy — distributed home AI assistant

A voice assistant running across Raspberry Pis at home, with speech-to-text, a custom persona and multiple operating modes.

Raspberry Pifaster-whisperElevenLabsOpenRouter

AI phone agent

A voice agent that answers calls, qualifies leads, books appointments and logs everything to a CRM with no manual data entry.

VapiElevenLabsn8nCal.comAirtable

Persistent memory for local LLMs

Long-term memory for LM Studio: stores past conversations locally and brings relevant context back across sessions.

LM StudioSQLitePython

writing

Blog

Notes from the field on lakehouse engineering, governance and building with AI.

  • soonFirst post in progress.