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Ramzi BEN AMARA, Senior Data Engineer analytics

Ramzi BEN AMARA

Senior Data Engineer analytics·KPMG

Luxembourg

Master's degree, Administration And Information Systems

Work experience

Total years of experience: 10 years, 3 months

Senior Data Engineer analytics

October 2024 - Present

KPMG

Luxembourg, Luxembourg

October 2024 - Present

Integration of billing invoices, customers and expenses with API posting S4/HANA
Azure synapse analytics(data flow, python scripts)

Company industry:
Financial Auditing
Job role:
Finance and Investment

Data Engineer Analyst

October 2021 - October 2024

Suez Industrial Development Company

Paris, France

October 2021 - October 2024

• Indicators for monitoring of factory alarms, emergency handling rate.
• In-depth analysis: agent route optimization application and evolution of the number of interventions per day
and per agent.
• Creation of dashboard in python for monitoring greening indicators of the automobile fleet.
• Integration of algorithms for classifying types of interventions by duration, type, contracts.
• Creation of flowmeters data ingestion (API), processing and transformation pipelines for monitoring water
volume capture indicators.
• Creation of workflows for the automatic management of load shedding in the event of a proven imbalance
between electricity production and consumption.
Technical Environment: Azure Data Factory, Databricks, Pyspark, Key Vault, Blob storage, Logic Apps, SQL
server, Docker, Streamlit, PowerBi, Classification, PCA

Company industry:
Energy & Renewables
Job role:
Manufacturing

Data Science Analyst

July 2017 - October 2021

Renault

Paris, France

July 2017 - October 2021

Development of a dashboard (python Dash) for monitoring key business indicators and associated gains.
• Relay between the business and data scientists for the integration of new performance indicators.
• Integration of algorithms anomaly detection Robust random forest.
• Monitoring data quality captured and ensuring the integration of the ingestion flow up to GCP (BigQuery).
Technical Environment: Postgres, Bigquery, Data flow, Pyspark, Cloud run, machine learning, Grafana, Dash,
Spotfire

Company industry:
Automotive Manufacture
Job role:
Manufacturing

data science engineer

March 2016 - July 2017

L’Oréal

Paris, France

March 2016 - July 2017

Development of decision support/training/research tools for the consumer and luxury divisions.
• Development of a face shape detection tool from images in python.
• Extraction and analysis of data from sensors to improve the consumer experience.
Projects: Connected packaging, Connected Mascara, Connected Skin, Face Detection (Deep learning), Advanced
Documentary Base (APIs Google et Microsoft).
Technical Environment: C#, C++, Python, Azure IOT Hub, API Entity linking, Api cloud natural language, OpenCv

Company industry:
Perfume & Cosmetics
Job role:
Research and Development

Education

Ecole Polytechnique - Palaiseau

September 2016

September 2016

Master's degree, Administration And Information Systems

France

GPA (rating): Very good

GPA (rating): Very good

National institute of applied technologies

September 2015

September 2015

Higher diploma, Automation And Control Engineering

Tunisia

GPA (percentage): 90%

GPA (percentage): 90%

Skills

Azure synapse analytics
Expert
Azure synapse analytics
Expert
Databticks
Expert
Databticks
Expert
pyhon
Expert
pyhon
Expert
sql
Expert
sql
Expert

Languages

Arabic
Native Speaker
French
Native Speaker
English
Expert

Training and Certifications

Certifications
Databricks Certified Data Engineer Associate
Oct 2024
Microsoft Certified: Fabric Analytics Engineer Associate
Oct 2024
Microsoft Certified: Azure Data Engineer Associate
Oct 2024