Ivan Mustière

Data Engineer · Infra & DevOps background

Ivan Mustière

I want to contribute to projects aligned with my values. Curious and rigorous, I enjoy building reliable, high-performance solutions, and I’m ready to grow in a demanding environment, both technically and on a human level.

$ docker compose -p demo-grafana up -d
[+] Running 2/2
✔ Network demo-grafana_default Created
✔ Container demo-grafana-1 Started
$ curl -s localhost:3000/api/health
{"database":"ok","version":"12.0.0"}
# Isolated container: 256 MB, no internet, destroyed after 15 min

What I do

Data Engineering

Designing and running robust ETL/ELT pipelines — ingesting, transforming and serving data to analytics teams.

Infra & DevOps

Two years in systems administration, then DevOps: Linux & Windows servers, Docker/Kubernetes containers, monitoring (Grafana, PRTG) and Bash/PowerShell automation. This site runs on a VPS I administer.

MLOps

Taking ML models to production: CI/CD, versioning with MLflow, deployment and monitoring.

What a pipeline I build looks like:

DAG daily_reporting
extract_crm_apiHttpOperatorextract_postgresSQLExecuteQuerytransform_sparkSparkSubmitOperatorquality_checksSQLCheckOperatorload_snowflakeSnowflakeOperatorrefresh_qlikPythonOperatorretrain_modelMLflow
Extract from an API and PostgreSQL, transform with Spark, run quality checks, load into Snowflake, then refresh Qlik reporting and retrain the model. Orchestrated by Airflow.
years of experience
5+
projects delivered
9
technologies used
28

Background

  1. 1Nantes· 2018 – 2023

    • Systems Administrator → DevOpsKosmos
    • Vocational Baccalaureate → BTSSt Félix-La Salle
  2. 2Paris area · Nanterre & Neuilly· 2023 – present

    • Data AnalystGroupe Henner
    • Bachelor's → Master's in DataParis Ynov Campus
  1. At work · 2023

    Data AnalystWork-study

    Groupe Henner

    Neuilly-sur-Seine, Île-de-France

    • Designed and maintained ETL & ELT pipelines with Talend to integrate medical data flows
    • Big data analysis on large volumes of health documents with Apache Spark and PostgreSQL, including automated document cancellation with a CNN
    • Modelled and loaded a Snowflake data warehouse for business reporting
    • Built analytical dashboards and visualisations in Qlik Sense
    • Orchestrated data workflows with Apache Airflow
    • Administered cloud servers and managed data processing environments
    SnowflakeTalendQlikAirflowSparkPostgreSQLDocker

    At school

    Bachelor's → Master's in Data

    Paris Ynov Campus · Nanterre, Île-de-France

    1. Master's in Data Engineering · 2024 – 2026

    2. Bachelor's in Data · 2023 – 2024

  2. At work · 2021

    Systems Administrator → DevOpsWork-study

    Kosmos

    Nantes, Pays de la Loire

    1. DevOps · Dec. 2022 – June 2023

      • Created and managed containers on Kubernetes environments
      • Deployed and monitored applications in production
      • Automated deployments and operations with Bash and PowerShell scripts
    2. Systems Administrator · Aug. 2021 – Dec. 2022

      • Automated operations tasks with PowerShell and Bash scripts
      • Ticketing and incident resolution with Jira
      • IT asset management: workstations, hardware purchasing and patch panels
    KubernetesDockerBashPowerShellJiraLinuxWindows

    At school

    Vocational Baccalaureate → BTS

    St Félix-La Salle · Nantes, Pays de la Loire

    1. BTS in Software Programming (2-year degree) · 2021 – 2023

    2. Vocational Baccalaureate in Computer Science · 2018 – 2021

Skills

  • Snowflake
  • Airflow
  • Spark
  • Kafka
  • Talend
  • Qlik
  • PostgreSQL
  • Python
  • pandas
  • NumPy
  • scikit-learn
  • TensorFlow
  • PyTorch
  • MLflow
  • ETL & pipelines (Airflow, Talend)
  • MLOps (CI/CD, MLflow)
  • Big Data (Spark, Kafka, Snowflake)
  • ML models (pandas, scikit-learn)
  • Deep Learning (TensorFlow, PyTorch)
Live

Interactive projects

Launch any project right in your browser — a Docker container starts in seconds, nothing to install.

See all projects

GitHub activity

266 contributions in the last year

See GitHub profile →
Contributions
266
Best month
34
April 2026
Best single day
27
Jul 26, 2026
Weekly average
5

Contributions per month

7
31
33
17
11
34
31
0
31
2
26
16
27

Contact

Open to permanent or freelance opportunities.