02 — Clients
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End-to-end data engineering — from raw ingestion to production-grade pipelines. 10+ years across Europe, Japan & beyond.
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.
Specialist in Databricks platform engineering, large-scale Spark pipelines, and data architecture across global enterprise environments.
A production-grade Apache Spark ETL pipeline built with Python and PySpark, designed for scalable batch data processing.
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A Scala-based Spring integration project demonstrating reactive streaming patterns over distributed datasets.
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An AKKA actor-based hashing utility for concurrent data anonymisation across high-throughput data streams.
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Apache Spark pipeline for processing and enriching large SKU catalogs for e-commerce platforms at scale.
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A Scala market prediction utility using historical trend analysis to classify asset momentum signals.
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Spark-based analysis and forecasting of solar irradiance data for renewable energy performance modelling.
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