Open to opportunities

Giuseppe Caliendo

@giuseppecaliendo

Message

Senior Data Engineer and Technical Product Owner bridging ML data platforms with product strategy on Google Cloud.

Spain

Message

What I'm looking for

I’m looking for a role where I can own data-to-product delivery: build scalable ML-integrated pipelines on cloud, modernize stacks with dbt/Dagster, automate deployments, and partner with Product to turn business needs into reliable outcomes.

I’m a Senior Data Engineer and acting Technical Product Owner, focused on bridging complex data architectures with product strategy. I translate business requirements into scalable, ML-integrated solutions on Google Cloud, and I lead cross-functional teams to deliver measurable performance improvements.

Most recently, I led the development of an automated ad bidding platform integrating complex ML models, architected ML-integrated pipelines with dbt and Dataproc (Spark), and pioneered scalable marketing content creation using Generative AI (Google Gemini). I also modernize and automate data stacks with dbt, Dagster, CI/CD, and Vertex AI deployments—while mentoring engineers and strengthening the data-to-engineering collaboration.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Edreams Odigeo

Mar 2025 - Present (1 year 5 months)

Acting Technical Product Owner, led a cross-functional team to build an automated ad bidding platform integrating ML models that manages over 70% of performance marketing spend and automates tasks equivalent to ~1 FTE while enhancing UX. Architected ML-integrated pipelines using dbt and Dataproc (Spark), and supported GenAI (Google Gemini) and VertexAI deployments with CI/CD improvements on Google

DBT Machine Learning Batch Inference Feature Computation Python Generative AI Google Cloud Platform CI CD Vertex AI Data Architecture Mentorship Gemini

Data Engineer

Edreams Odigeo

Oct 2022 - Mar 2025 (2 years 5 months)

Developed data pipelines using Dagster and dbt to provide critical data marts for SEM and app teams, ensuring high availability. Designed a scalable ad entity management solution with Cloud Functions, GCS, Pub/Sub, and Dagster, and built alerting and dashboards using Python, Elementary, and Superset for KPI monitoring and anomaly detection.

Dagster DBT Cloud Functions Pub Sub Python Elementary Superset Anomaly Detection KPIs High Availability Bing Ads Google Ads Appsflyer

Big Data Engineer

Allianz

Oct 2020 - Oct 2022 (2 years)

Managed technical aspects of analytical projects, supporting data scientists across the lifecycle of advanced analytics models on Azure Kubernetes. Implemented automated ETL pipelines (Airflow, Luigi, Spark, Automation Hero) for the internal LakeHouse, developed a Python package to streamline Azure Blob Storage interactions, and deployed KPI monitoring web applications using Django, Dash, and Plot

Azure Kubernetes Airflow Luigi Apache Spark Automation Hero ETL Lakehouse Python Azure Blob Storage Django Dash Plotly KPIs advanced analytics

Big Data Engineer

Everis

Sep 2019 - Oct 2020 (1 year 1 month)

Analyzed and monitored Cloudera clusters for data management, developing Impala and Hive scripts for ETL flow maintenance. Provided technical support for critical Cloudera cluster migration activities using Cloudera Hadoop, Hive, Impala, Sqoop, Python, Spark, and Bash.

Cloudera Hadoop Hive Impala Sqoop Python Apache Spark BASH ETL Data Migration

Data Scientist Intern

University of Naples Federico II

Mar 2018 - Dec 2018 (9 months)

Analyzed and developed super-resolution techniques for image processing, including model training and evaluation, and developed an Android application. Analyzed and developed translation techniques using transformer models, including model training and evaluation using Python and TensorFlow.

Image Processing Deep Learning Transformer Models Python TensorFlow CUDNN Android Android Studio

Education

Degrees, certifications, and relevant coursework

University of Naples Federico II

Master of Science in Computer Engineering, Computer Engineering

2015 - 2018

Grade: 110/110

M.Sc. in Computer Engineering (specialization in Data Mining, Big Data Analytics, and Business Intelligence). Thesis: an Android application for image super resolution through deep learning.