18.09.2025 aktualisiert

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Data Engineer / Architect

Sulzbach, Deutschland
Weltweit
Master of Science Business Informatics (Focus: Data Mining)
Sulzbach, Deutschland
Weltweit
Master of Science Business Informatics (Focus: Data Mining)

Profilanlagen

profil_marc_brissier.pdf

Skills

ScalaPythonApache SparkAWS (Amazon Web Services)HadoopGCP (Google Cloud Platform)JavaMicrosoft AzureBig Data
  • Programming languages
    • Python
    • Scala
    • Java
    • JavaScript
    • SQL
    • (C#, R)
  • Framework/Tools
    • AWS S3, Sagemaker, Elastic Container Service
    • Google Cloud Platform BigQuery, Dataproc, Cloud Composer, Cloud Storage
    • Azure Data Lake Storage Gen2, Data Factory, DevOps, Databricks, SQL Database, Machine Learning Studio
    • Apache Spark / PySpark / MLlib / Structured Streaming
    • Databricks / Delta Lake
    • Docker
    • Kubernetes
    • Terraform
    • Apache Hive
    • Apache Kafka
    • Apache Airflow
    • HDFS
    • scikit-learn, pandas
    • PyTorch
    • JupyterLab, Jupyter Notebook, Apache Zeppelin
    • SSIS
    • React, React Native
    • Django
  • Databases
    • PostgreSQL
    • MongoDB
    • MS SQL Server

Data Engineering & Machine Learning Expert | Cloud Specialist | Full-Stack Developer
With over 8 years of experience as a technical consultant and freelancer, I specialize in designing and deploying production-ready Machine Learning pipelines and Data Lakes across top cloud platforms, including GCP, AWS, and Azure.
  • Proven Results: Successfully developed an advanced dashboard and reporting system to track carbon emissions, boosting data transparency and decision-making for stakeholders (2024).
  • Versatile Expertise: Led the delivery of two high-impact, data-driven products by seamlessly integrating data engineering with machine learning, providing clients with reliable predictive analytics (2022-2023).
  • Cloud Migration Success: Completed a full-scale migration to Google Cloud Platform (GCP) within a year, ensuring smooth transitions and system optimization (2021).
  • End-to-End Solutions: I bring proficiency in full-stack development, enabling me to contribute to every stage of the software development process with agility and precision.


Trainings and Certificates
  • AWS - Data Engineer (2024)
  • Convolutional Neural Networks with Pytorch
    • Udemy - 09.2021
  • Full week Apache Spark Training on Databricks
    • Databricks - 01.2020
  • Udacity Deep Learning Nanodegree
    • Udacity - 07.2019
  • CRT010: Databricks Certified Developer: Apache Spark 2.X  with Scala
    • Databricks - 02.2019
  • 3 full days Scrum training
    • inovex GmbH - 03.2018


Additional experience from private projects
  • Boda Wedding Web-App > see https://boda-app.de/
  • React Native App -> see https://mbrissier.github.io/scood/
  • I developed a ML pipeline able to extract nutritional facts from nutrition table pictures with an accuracy of 70 percent. Model: Convolutional Neural Network, Frameworks: PyTorch and PyTorch Mobile

Sprachen

DeutschMutterspracheEnglischverhandlungssicherSpanischgut

Projekthistorie

Data Engineer

Biggest german car marketplace

Internet und Informationstechnologie

250-500 Mitarbeiter

Migration to (Google Cloud Platform) GCP
  • Responsible for the technical migration to GCP, coming from an on-premise Hadoop environment with multiple Apache Spark (Scala) ETL jobs.
  • Finding architectural solutions for the following challenges and unknowns:
    • Dynamic partition overwrite with BigQuery
    • Connecting GCP to on-premise data stores like Kafka and Mongo Databases
    • Scheduling jobs in GCP with Cloud Composer (Apache Airflow)
    • Implementing deployment and testing in GCP
    • Introducing Terraform for a collaborative management of infrastructure as code
  • Reengineering of all on-premise Apache Spark (Scala)  ETL jobs and Jenkins pipelines for a GCP migration.
    • Creating Scala sbt build scripts for multiple projects and Jenkins pipelines for versioning and deployment of fat JARs and Airflow DAGs.
  • Orchestrating and executing the migration phase with various dependencies between Spark jobs, departments as data consumers and newly developed features by the team.
  • Introducing the new GCP setup to the developer team.

Big Data Scientist

inovex GmbH

Internet und Informationstechnologie

250-500 Mitarbeiter

Technical Consultant for Big Data projects.
  • At inovex I have been working as a technical consultant for different customers in the roles of Data Engineer or Machine Learning Engineer.
  • I worked on various projects with different technology stacks in on-premises and cloud environments.
  • I developed most of my skills in and around the following stacks and environments: Hadoop Ecosystem (especially Apache Spark), SciPy, Google Cloud Platform, AWS, Azure, on-premises clusters.
  • Please see the project history for more details. All real company names of the customers are restricted by a NDA.

Machine Learning Engineer

Biggest german private tv channel

Medien und Verlage

>10.000 Mitarbeiter

Creating a Data Science Process Framework

  • Evaluating different ML Frameworks for Experiment Tracking and Model Serving (e.g. MLFlow, Neptune, …).
  • Creating a custom Cookiecutter Data Science project template for a better project structure, git integration, python packaging, python environment management and secret management.
  • Setting up a private PyPI repository for Data Science project packages in (Google Cloud Platform) GCP.
  • Development of a central python api for an easier integration and deployment of ML artifacts to GCP - especially for GCS and BiqQuery.
  • Elaborating a Data Science process framework and establishing it with different Data Science departments in combination with the developed artifacts python api, PyPI repository, Data Science project template and selected ML Frameworks.

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