Open to Principal and Staff data engineering roles.
Jonathan Hazeley
Principal-Level Data Engineer
Migrations fail on trust, not on code. I lead Databricks migrations and build the proof that lets a business commit to the platform.
Charlotte, North Carolina
Selected work
A few problems worth explaining in full.
Proving a Migration, Not Just Doing One
Migrated a player-cohort analytics platform off Snowflake onto a Databricks medallion architecture, and built the config-driven framework that proved every migrated table matched its source: 678M rows, 114 automated checks per run.
- Databricks
- Lakeflow Declarative Pipelines
- Lakehouse Federation
- Snowflake
The Databricks Catalog Other Engineers Build Inside
A ~90-skill Databricks engineering catalog, served live to AI coding agents over MCP, with a usage-telemetry loop that decides what gets written next.
- Databricks
- Python
- FastMCP
- Google Cloud Run
Statewide Transportation Data, Made Trustworthy
Real-time Delta Live Table ingestion that improved statewide safety reporting availability 30%, plus the metadata automation and glossary that made new sources fast to onboard and the numbers safe to publish.
- Databricks
- Delta Live Tables
- PySpark
- Azure OpenAI
Hospital Billing, Modeled Once
Led a cross-functional team through a hospital billing engagement, refactoring 100+ fact and dimension tables, data marts, and Power BI semantic models sourced from Epic Clarity and Caboodle.
- Databricks
- SQL
- Power BI
- Epic Clarity / Caboodle
The Metrics Behind a 50% EBITA Increase
Built the Databricks pipelines and the governance around them that took IoT and SaaS telemetry all the way to board-level decisions, contributing to a 50% EBITA increase and a multi-million-dollar ARR win.
- Databricks
- SQL
- Python
- Power BI
Currently
Lead Data Engineer Consultant at Lovelytics. Databricks’ four-year Partner of the Year, backed by Databricks Ventures. I am the client-facing technical lead on two to three concurrent lakehouse builds and migrations, and I set the Databricks delivery standard the engagement teams work inside.
Full experienceCredentials
Certified on the platforms I build on. Every one links to its issuer.
- Databricks Certified Data Engineer Associate
- AWS Certified Cloud Practitioner
Plus 13 training and course credentials across Data Engineering, AI, Cloud & Delivery.
What I work with
- Languages & processing
- SQL
- Python
- PySpark
- Apache Spark (Structured & Streaming)
- Working knowledge:
- Pandas
- NumPy
- Databricks & lakehouse architecture
- Databricks
- Unity Catalog governance
- Lakeflow Declarative Pipelines
- Delta Live Tables
- Delta Lake
- Databricks Asset Bundles
- Auto Loader
- Medallion architecture (bronze/silver/gold)
- Data Vault 2.0
- Data Mesh
- Dimensional modeling (SCD Type 1/2)
- Migration architecture
- Storage & query engines
- Snowflake
- BigQuery
- Postgres
- Working knowledge:
- Amazon Athena
- Presto
- Trino
- Cloud & delivery
- Azure (ADLS, Fabric)
- AWS
- GCP
- ETL / ELT
- CI/CD for data
- Environment promotion
- Azure DevOps
- GitHub Actions
- Git
- dbt
- Fivetran
- Astronomer
- Working knowledge:
- Apache Airflow
- AI & agentic systems
- Azure OpenAI
- Model Context Protocol
- Claude Agent SDK
- Prompt design & engineering
- Agent evaluation
- Analytics & BI
- Power BI
- Epic Clarity / Caboodle
- Heap.io
- Celonis
- Working knowledge:
- Tableau
- Redash
- Practice & leadership
- Databricks migrations
- Data governance frameworks
- Test-driven development for pipelines
- Mentorship & technical guidance
- Multi-engagement delivery
- Level-of-effort estimation
- Discovery workshops
- Stakeholder management
- Agile / Scrum
Outside the work
A principal hire is someone a team lives with for years, not a résumé. This is who that is.
- Boxing
- Salsa, Bachata, Merengue
- Woodworking
Plus 15 countries across 4 regions, most of them where the music I dance to comes from.
Let’s talk
The fastest way to reach me is email. I read everything and reply to anything specific.