Data engineering · Applied AI

Hani Al Naber

Data Engineer IAlter DomusHouston, TX

I turn complexity intosystems that work.

From nuclear engineering to financial data platforms.

A systems thinker building with data, code and AI.

View résumé Résumé PDF

My working stack

Python
SQL
AWS
Databricks
dbt
Airflow
+ AI tooling

01The way I think

Everything connects.Make it count.

A pipeline is a series of decisions. What comes in. What gets trusted. What happens when something breaks.

Explore the layers of a data system.

Select a stage to explore

01 · Bring the sources together.Connect source systems, preserve the raw records and make ingestion repeatable.

02ExperienceThe long way here

Different disciplines.One engineering mindset.

Nuclear engineering taught me to understand systems. Analytics taught me to ask better questions. Data engineering is where those instincts meet.

The complete résumé

dependencyAlter Domus trunkrecords in flight

Hover a node to trace its upstream lineage

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2010 · The foundation

Nuclear engineering

JUSTSeptember 2010 — June 2015

Start with first principles. A degree in nuclear engineering built my grounding in mathematics, physical systems and careful analytical thinking. It is an unusual starting point for a data engineer—and a useful one.

Engineering mathematics
Statistics
Systems thinking

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2014 · The foundation

Engineering Trainee

Jordan Atomic Energy CommissionJune 2014 — September 2014Training

Completed comprehensive training in environmental radioactivity and radiochemistry
Gained foundational knowledge in nuclear engineering applications and safety protocols

Radioactivity
Radiochemistry
Nuclear Safety
Research

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2022 · The translation

MS Business Analytics

University of HoustonJanuary 2022 — December 2023

Connect analysis to decisions. I moved deeper into predictive analytics, machine learning and the business questions behind the models. I graduated with a 4.0 GPA and received the Outstanding MS in Business Analytics Student Award and Dean’s Award.

Predictive analytics
Machine learning
Teaching

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2022–2023 · The translation

Instructional Assistant

University of HoustonSeptember 2022 — December 2023Part-time

Mentored and supported over 300 graduate and undergraduate students in technical subjects including Predictive Analytics and Business principles
Clarified complex analytical concepts and translated technical material into understandable content
Assisted faculty in developing and grading assignments, gaining deep exposure to practical application of data analytics and machine learning methodologies

Predictive Analytics
Machine Learning
Business Analytics
Data Science

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2024 · The build

Data Engineer Intern

Alter DomusMarch 2024 — June 2025Internship

Bring the theory into production. My entry into financial data engineering: building and testing dbt models, writing validation SQL, and working with Python pipelines, Airflow on AWS MWAA and Airbyte connectors.

Built and tested initial dbt models and Python pipeline components with senior engineering mentorship.
Wrote validation SQL and supported Airflow DAGs, AWS MWAA and Airbyte connectors.
Used AI assistants to understand existing code and support implementation.

Python
SQL
dbt
Airflow
PostgreSQL

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2025 · The ownership

Associate Data Engineer

Alter DomusJune 2025 — March 2026Full-time

Own the whole data journey. I took on end-to-end ETL and ELT delivery, ingestion from multiple source systems, transformation models and CI/CD. The work connected platform engineering with the needs of analysts and business stakeholders.

Owned end-to-end pipeline development across multiple source systems with Python, SQL and dbt.
Built and maintained Airbyte ingestion and Airflow orchestration on AWS MWAA; developed transformations for financial reporting.
Worked with analysts and business stakeholders, peer code review, CI/CD and automated tests.

Python
SQL
Airbyte
AWS MWAA
dbt
AWS
Databricks
GitHub Actions

fct_data_engineer_imartCurrent

2026 · The next layer

Data Engineer I

Alter DomusMarch 2026 — PresentFull-time

Engineer with AI. Deliver with judgment. Today I build and improve financial data pipelines across AWS, Databricks, dbt and Airflow. I use Claude Code, Amazon Q, Databricks Genie and MCP tooling for exploration and development, alongside code review, tests and engineering judgment.

Build and improve financial ETL/ELT pipelines across AWS, Databricks, dbt and Airflow.
Translate stakeholder requirements into data products; use Amazon Q Developer, Claude Code, Databricks Genie and MCP tooling for exploration and development.
Strengthen delivery through SQL tuning, DAG refactoring, GitHub Actions, Terraform, automated dbt tests and pipeline observability.

AWS
Databricks
dbt
Airflow
Terraform
GitHub Actions
Data platforms
Applied AI
MCP

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Your team

depends_on: fct_data_engineer_i

Let’s talk

03Skills

Engineering toolkit

01Build & model

02Platform & delivery

03AI in the workflow

04Education7 professional credentials

EducationCredentials

MS, Business Analytics

University of Houston

January 2022 — December 2023

4.0GPA

Outstanding MS in Business Analytics Student Award
Dean’s Award

BS, Nuclear Engineering

Jordan University of Science and Technology (JUST)

September 2010 — June 2015

05AboutA little more human

Curiosity ispart of the stack.

Hani Al Naber — The person behind the pipelines.

I’m Hani, a data engineer based in Houston. I like the point where a complicated problem starts to become a clear, useful system.

At Alter Domus, I work on financial data pipelines. Beyond that, I build tools, explore how AI can improve engineering workflows, and keep following questions into new disciplines.

Connect on LinkedIn

06Contact

The next good system starts with a conversation.

Let’s buildwhat’s next.

hanialnaber@gmail.com

Houston, Texas · Working across disciplines.

Hani Al Naber.