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Iheb ChorfiIC

Iheb Chorfi

Supermalter

Tech Lead Data Engineer AWS

€800/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Iheb

● Tech Lead and passionate about the data domain.
7 years of experience, I have worked on several use cases as a senior data engineer and tech lead (Energy, Food Service, Automotive, Banking).

● I have solid experience in designing and implementing scalable, reliable, and maintainable solutions deployed on the Cloud/On-premise to meet various business needs (data ingestion, storage, processing, exposure).

● I have developed good relationships with data architects to define and validate these solutions, as well as with Product Owners and project stakeholders to identify needs and define technical roadmaps and backlogs for the coming months.

● I also upskill the data engineers in my team to make them autonomous and functional.

● Adept at AGILE methodologies and code quality, I have continuously experimented with new techniques and technologies to consistently deliver better results.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Engie,
    Tech Lead Data Engineer
    March 2023 - Today (3 years and 3 months)
    France
    Implementation of an AWS and Databricks platform to automate the billing process for ENGIE B2B clients.
    • Contribution to the design and implementation of scalable data processing pipelines (data cleaning, partitioning, transformation, normalization, etc.).
    • Contribution to the design and implementation of the orchestration engine with AWS Step Functions, Lambda, SQS, and EventBridge to automate the billing process.
    • Development of the ETL job with Databricks for retrieving, completing, and aggregating energy consumption data (load curve).
    • Development of a real-time monitoring solution for the billing cycle.
    • Design and implementation of APIs to expose data, using API Gateway and Lambda.
    • Contribution to the development and industrialization of Big Data solutions in a Cloud environment.
    • Development of "infrastructure-as-code", software tests, and CI/CD workflows on the platform (Terraform, Github Actions).
    • Identification of business problems and translation into Data problems.
    • Monitoring and optimization of platform costs.
    • Management of the team of 4 Data Engineers and ensuring the skill development of team members in all aspects of Data Engineering and, more broadly, in a "Data-driven" approach.
    Technologies: AWS, Databricks (DeltaLake), Athena, Lambda, Elasticache, API Gateway, S3, Step function, EventBridge, DynamoDb, Terraform, Github Actions
  • EDF Renouvelables
    Tech Lead AWS
    ENERGY AND UTILITIES
    June 2019 - Today (7 years)
    Paris, France
    Building a data lake for EDF Renouvelables' wind and solar farm data collected in real-time on AWS to monitor and evaluate energy production in the US/Europe.
    ● Building an S3 data lake for analytical data for solar and wind farms.
    ● Implementing a pipeline for large-scale data ingestion from heterogeneous sources (ingestion, normalization, data quality, curation, KPI).
    ● Managing a team of 5 data engineers and training project stakeholders.
    ● Developing the technical roadmap to meet business needs (Product Owner & Business Specialists).
    ● Defining functional requirements with US/Europe teams.
    ● Using an Infrastructure As Code approach with Cloudformation/CDK for better resource maintainability.
    ● Deploying the solution on AWS with a CI/CD approach.
    ● Monitoring the operability of the production environment as well as lower environments (Staging, Test, Sandbox).
    ● Building KPIs to monitor energy production (Batch & Realtime) on Tableau and Grafana visualizations.
    AWS Tech Lead Python AWS Lambda AWS S3 CI/CD Spark Amazon RDS Amazon Redshift AWS Kinesis Airflow DevOps Docker Scrum
  • EDF Renouvelables,
    Tech Lead Data Engineer
    June 2019 - February 2023 (3 years and 8 months)
    France
    Design and management of an AWS data lake for centralizing real-time feeds from EDF Renouvelables' wind and solar farms, aiming for optimal supervision and accurate energy production evaluation in the US/Europe.
    • Development and deployment of a large-scale heterogeneous data ingestion pipeline. This process covers normalization, data quality, curation, and KPI definition.
    • Design and implementation of an S3 data lake focused on analyzing data from solar and wind farms with AWS.
    • Leading a team of 5 data engineers while ensuring technical training for project stakeholders.
    • Development and implementation of the technical roadmap in close collaboration with Product Owners & business specialists.
    • Implementation and application of the "Infrastructure As Code" approach through Cloudformation/CDK, aiming for optimized management and resource maintainability.
    • Deployment of the solution on AWS with a CI/CD approach, ensuring a smooth and reliable production rollout.
    • Continuous monitoring of production environments and ancillary environments (Staging, Test, Sandbox), ensuring their operability.
    • Building KPIs to monitor energy production (Batch & Realtime) on Tableau and Grafana visualizations.
    Technologies: AWS, Glue Spark, Athena, ECR, Lambda, S3, CodePipeline, Step function, RDS, Redshift, DynamoDb, InfluxDB

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Education

  • Master 2 in Data Science
    Université Lyon 1 Claude Bernard
    2017
  • Engineer in Information Systems and Technologies
    Ecole Nationale Supérieure d'Informatique
    2016

Skill set

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