Available for Data Engineering Engagements

CHRIS
LUTTAZI
DATA
ENGINEER

Lead Data Engineer specialising in large-scale platforms built on Databricks, Apache Spark, and the modern data lake ecosystem. 10+ years across fintech, e-commerce, energy and enterprise — from Scandinavia to Japan.

LinkedIn → View Work
Apache Spark
Databricks
Delta Lake
Python / PySpark
Scala
AWS · Azure
dbt
Medallion Arch.
AWS DMS / CDC
AI-Augmented Dev
10+
Years Experience
4
Continents
12+
Clients Served
01 —

CAREER TIMELINE

Chris Luttazi is a Lead Data Engineer specialising in large-scale data platforms built on Databricks, Apache Spark, and the modern data lake ecosystem.


With experience spanning fintech, energy, e-commerce, and enterprise consulting, Chris has delivered data solutions across four continents — from Scandinavia to Japan. His work spans end-to-end platform builds: from raw ingestion and CDC pipelines through Medallion architecture to production-grade analytics.


Currently based in Tokyo, Japan.


▌ Azure Data Engineer Certified

JAN
2016
MS Information Systems
Northeastern University — USA
MAR
2016
Data Engineer
Schneider Electric — Denmark
SEP
2018
Senior Data Engineer
Nets Group — Norway
JUN
2021
Lead Data Engineer
Freelance — Spain
FEB
2024
Data Engineering Services
Japan
02 —

TRUSTED BY

Randstad
Nationale Nederlanden
Cognizant
Adevinta
Nets Group
Farfetch
Schneider Electric
Philip Morris International
Huddle Group
ExxonMobil
Accenture
Iceberg Solutions
Randstad
Nationale Nederlanden
Cognizant
Adevinta
Nets Group
Farfetch
Schneider Electric
Philip Morris International
Huddle Group
ExxonMobil
Accenture
Iceberg Solutions
03 —

OPEN SOURCE

Apache Spark · Python
Spark ETL
Production-grade PySpark ETL pipeline designed for scalable batch data processing across enterprise data lakes.
View on GitHub
Scala · Spring
Scala Spring
Scala-based Spring integration project demonstrating reactive streaming patterns over distributed datasets.
View on GitHub
AKKA · Scala
AKKA Hasher
Actor-based hashing utility for concurrent data anonymisation across high-throughput streams.
View on GitHub
Apache Spark · E-Commerce
SKUs
Spark pipeline for processing and enriching large SKU catalogs for e-commerce platforms at scale.
View on GitHub
Scala · Finance
Up or Down
Market prediction utility using historical trend analysis to classify asset momentum signals.
View on GitHub
Apache Spark · Energy
Solar Irradiance
Spark-based analysis and forecasting of solar irradiance data for renewable energy performance modelling.
View on GitHub

LET'S BUILD
SOMETHING.

Available for data engineering engagements, platform architecture, and consulting across fintech, e-commerce, and regulated industries.

Connect on LinkedIn →