Hamza EZZI

Lead Data Engineer | Cloud & Big Data Architect

Salary / Daily rate

92160 Antony, France

Mobility: Paris, Nice

Freelance

Remote only

Skills

Big DataTech LeadData EngineerCloud ArchitectAWSPythonScalaJavaData EngineeringMicroservicesSQL databasesPySparkJiraSolutions ArchitectDesign ThinkingConfluence

Languages

French (Native)Arabic (Native)English

About me

Intro

Lead Data Engineer with 15+ years building scalable cloud & big data platforms for energy and enterprise sectors. Specialized in AWS/Azure migrations, real-time event-driven architectures, and data quality frameworks that drive operational efficiency and cost reduction. Expert in delivering end-to-end solutions from ingestion to analytics using Spark, Python, Kafka, and serverless technologies to solve complex business challenges.

Links

Work experience

ENGIE

Feb 2019 - Present

7 years 9 months

Vétheuil, France

Senior Data Engineer | Cloud & Big Data Architect

Jun 2025 - Present

1 year 5 months

Vétheuil, France

✅ Real-Time Renewable Energy Platform – Azure + AWS Business objective: Deliver near real-time renewable generation data (wind, solar, hydro) for trading, dispatching, and operational control. Key Achievements: • Real-time ingestion (sources: Emsys, Darwin, etc.) • Energy APIs for internal consumers • Data quality pipeline (negative values, completeness, etc.) • Cross-cloud archiving on AWS Business Impact: • Instant operational monitoring of renewable assets • Increased reactivity in operations & incident anticipation • Reliable data for market value optimization & energy reporting Tech Stack: Azure EventHub, Azure Functions, Azure Data Explorer, Event Hubs, AKS, Python, FastAPI, AWS S3

Senior Data Engineer | Cloud & Big Data Architect

Mar 2024 - May 2025

1 year 3 months

Vétheuil, France

✅ Data Platform & Data Quality – ENGIE Power (Brussels) Business objective: Ensure reliable data for billing, operational performance, and compensation of lost renewable production (curtailment). Key Achievements: • Ingestion & processing of renewable asset data • Computation of actual vs. expected production and attributable losses • Built data quality framework (Great Expectations) • DataOps for billing workflows and audit traceability Business Impact: • Secured and reliable financial billing & reconciliation • Automated detection of production losses → optimized compensation • Improved transparency & performance monitoring for renewable assets Tech Stack: Glue, Lambda, TimescaleDB, PostgreSQL, Kinesis, S3, Athena, Redshift, EventBridge, EKS, DynamoDB, OpenSearch, SAM, CloudFormation, Python/Scala, Great Expectations, Kibana

Tech Lead | Cloud & Big Data Architect

Jan 2022 - Feb 2024

2 years 2 months

Vétheuil, France

✅ Big Data Migration to AWS – Industrialization & Scalability Business objective: Modernize the gas DataLake platform and reduce OPEX. Key Achievements: • Migrated Spark Cloudera workloads to AWS Glue/Athena/Lambda • Built orchestration with EventBridge and monitoring with CloudWatch • Designed event-driven and serverless architecture • Supported short-term (D/D+1) and long-term forecasting workloads Business Impact: • Increased scalability and performance for gas forecasting systems • Reduced operational costs vs. Hadoop • Faster and more reliable gas procurement decisions Tech Stack: Glue, Lambda, Kinesis, S3, Athena, Redshift, EventBridge, CloudWatch, EKS, DynamoDB, OpenSearch, SAM, CloudFormation, Python & Scala

Tech Lead | Big Data Architect

Feb 2019 - Dec 2021

2 years 11 months

Vétheuil, France

✅ DataLake Platform & Ingestion Framework – Galileo (ENGIE Gas France) Business objective: Improve reliability and automation of data feeding gas consumption forecasting models and gas purchase decision systems. Key Achievements: • Developed a multi-source ingestion framework (API, SQL, CSV, XML, etc.) • Built a custom workflow engine with sequential/parallel execution and retry mechanisms • Standardized and published data to Hive/HDFS • Optimized forecasting pipelines and high-volume ingestion processes Business Impact: • Enhanced data quality for gas procurement models • Reduced time to feed forecasting models and analytical workflows • Financial gains through optimized gas purchasing strategies Tech Stack: Spark, Scala, Cloudera, Hive, HDFS, Kafka, SQL Server, Hue

Tech Lead | Big Data Architect

Renault Digital

Jan 2018 - Feb 2019

1 year 2 months

Vétheuil, France

Mission: Lead a cross-functional team building generic tooling to address Data Lake challenges around data ingestion, consolidation, processing, and export. Key Responsibilities: • Tech Lead for cross-team engineering squad delivering reusable DataLake components (Spark, Scala, Hadoop, HBase, Kafka, Elasticsearch, JDBC, file pipelines…) • Support business & custom data projects with architecture guidance and solution design • Conduct technical audits to ensure performance, robustness, and best practices • Train and coach users on platform tools & job performance (optimization, resource usage, execution speed…)

Tech Lead | Big Data Architect

Groupe Renault

Apr 2016 - Dec 2017

1 year 9 months

Renault Technocentre (Engagement delivered as a Consultant at CGI) • Contributed to the design and implementation of a generic and configurable Data Management solution in a Big Data context (architecture, developer leadership, and development) Tech: Hortonworks, Spark, Scala, HBase, Elasticsearch Key responsibilities & achievements: • Ingested data from multiple sources (Oracle, MySQL, CSV, text, etc.) • Consolidated data using SQL-like logic • Exported data to multiple formats and systems (Avro, ORC, HDFS, Elasticsearch, …) • Built a “Watcher-like” system to detect data changes in Elasticsearch based on user queries and trigger actions • Developed a custom high-performance computation pipeline to consolidate and calculate data with millions of combinations (~40+ billion cases) SNCF – Big Data Monitoring & Analytics (Engagement delivered as a Consultant at CGI) • Built Big Data architecture to monitor and analyze business application behavior • Designed data streaming platform for real-time passenger information (train schedules, announcements, etc.) Tech: Hadoop, Spark, Kafka, Elasticsearch, Filebeat, Logstash, Kibana R&D – Road Safety & Radar Analytics (PoC at CGI) • Consolidated open data sources (radar GPS positions, accidents, bridges, roads, cities, weather, etc.) • Analyzed correlations across multiple criteria and visualized results in the ELK stack Tech: Spark, Scala, Elasticsearch, Kibana

Big Data Engineer | Push Notification Platform

Accengage

Sep 2014 - Mar 2016

1 year 7 months

Région de Paris , France

Design and build a multi-platform push-notification system (iOS, Android, Windows Phone, Amazon) with real-time logging, processing, analytics, and auto-scaling capabilities. • Designed & built a scalable push-notification engine • Implemented dynamic auto-scaling based on traffic volume • Developed monitoring & alerting system (email + centralized logs) • Built orchestration for start/stop/pause and error auto-recovery workflows • Engineered a real-time log enrichment & routing pipeline • Delivered connectors to migrate legacy PHP/MySQL stack to a Big Data architecture • Benchmarked architectures & runtimes (Node.js vs Go, Pub/Sub & HTTP/2) Tech Stack Legacy / Base stack: PHP, MySQL Core platform: Java, Spring, Memcached, Redis Cloud & Distributed Systems: Google AppEngine, Google Compute Engine, Google Pub/Sub, Google Cloud Logging Big Data Processing: Apache Storm, Flume, ZooKeeper, BigTable / HBase, MongoDB Modern APIs: Node.js, MongoDB Messaging & Streaming (PoC): Kafka, RabbitMQ

Maguistudio

May 2011 - Aug 2014

3 years 4 months

78480 Verneuil-sur-Seine, France

Production Lead | Tech Lead

May 2013 - Aug 2014

1 year 4 months

78480 Verneuil-sur-Seine, France

Led development and delivery of web and mobile applications for enterprise and consumer clients. Managed production, architecture decisions, and technical execution. Key Projects CapEcoConso – Energy Consumption Platform (ENGIE) Energy insights platform helping customers analyze gas/electricity usage and reduce consumption. Tech: PHP, CodeIgniter, MySQL ENGIE Subscription Services (Electricity & Gas) Backend services managing subscription data flows and customer onboarding. Tech: PHP, SOAP, MySQL Energy Recommendation & Consumption Engines Calculation engines recommending energy-saving actions and analyzing monthly energy usage. Tech: PHP, Java/Java EE, JSON/SOAP, MySQL Cross-Platform Messaging App Real-time messaging app with geolocation, photo sharing, and presence detection. • Mobile: Titanium, Alloy, SQLite • Backend: Node.js, Express, PassportJS, Redis, MongoDB, Socket.io Retail Mobile Apps – MarquesAvenue (iOS & Android) Customer engagement applications for shopping centers. Tech: Titanium, SQLite Real-time Web User Tracking API Session analytics, page tracking, and real-time user presence monitoring. Tech: Node.js, Socket.io, MongoDB

Web & Mobile Developer (PHP5 / Titanium)

May 2011 - May 2013

2 years 1 month

78480 Verneuil-sur-Seine, France

Developed web applications and cross-platform mobile apps for enterprise and consumer clients. Key Projects Meteo-Paris.com — Weather Platform Development of features for a high-traffic weather information website. Tech: PHP, CodeIgniter, MySQL Corporate Websites (ENGIE & other clients) Design and development of corporate websites and online platforms. Tech: PHP5, CodeIgniter, JavaScript, MySQL, HTML, CSS Internal Mobile App – ENGIE Mobile app for internal use to monitor customer subscription requests in real time. Tech: Titanium, Node.js, MySQL, SQLite

Web Developer

Freelance

Sep 2010 - May 2011

9 months

Franceville, Tunisia

Design and development of websites for various clients Tech: PHP5, JavaScript, HTML, CSS, MySQL


Education

Université Marie et Louis Pasteur

Master en informatique, Informatique

2014 - 2015

2 years

Institut Supérieur de Gestion, Tunis

Maîtrise en Informatique Appliquée à la Gestion (BAC +4), Informatique

2003 - 2007

5 years


Licenses & certifications

AWS Certified Solutions Architect - Professional

Issued: Dec 2025

Certified by AWS

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