Yohann Zapart - Python Developer | Data Engineer/Analyst

🇬🇧 Certified mathematics teacher for 8 years, trained as a scientific instrumentation engineer and holder of a Master's degree in microelectronics, I am now deciding to professionalize my passion for programming, which has been a significant part of my personal, academic, and professional life since the age of 10.

🇫🇷 Professeur de mathématiques certifié pendant 8 ans, ingénieur en instrumentation scientifique de formation et titulaire d'un master 2 en microélectronique, je décide aujourd'hui de professionnaliser ma passion pour la programmation qui rythme ma vie personnelle, universitaire et professionnelle depuis l'âge de 10 ans.

linkedin.com/in/yohann-zapart/

Stack :

Python	POO, DSA (top 1% codingame.com), pip/conda, Jupyter, Venv, Flask, Numpy, Pandas, Matplotlib, Seaborn, Scrapy, Requests, Selenium, BeautifulSoup et d'autres.
SQL	JOINs, CTEs, Temporary functions, Window functions, Subqueries, Indexes, LAG, RANK, manipulation des dates
Linux & Bash	Automatisation, Terminal, navigation/gestion de fichiers, droits admins/chmod, SSH, oh-my-zsh.
GCP	gcloud CLI, BigQuery, Storage, Dataproc, Composer, Dataflow, GCE, Functions, Scheduler, Pub/Sub, IAM, Artifact Registry, Cloud Run, Logging.
Docker	Dockerfile, docker-compose, DockerHub
Spark	Implementation en local, Docker & GCP Dataproc, pySpark, SparkSQL, Dataframes, Spark Streaming, Jupyter, Spark connectors w/ Maven dependecies.
Airflow	Local, Docker & GCP Composer, DAGs, GCP Operators (BigQuery & Storage).
Kafka	Local, Docker & GCP Pub/Sub, Producer/Consumer shell/python client, Authentifications, Autorisations ACL.
En cours	Scikit-Learn, Looker

📖

Practiced Technologies :

Java, PHP, Javascript, React, Node, HTML/CSS
MatLab, LabView
Arduino/ESP, Raspberry Pi
BASIC / ASM

Portfolio :

V'lille GCP

🔗 github.com/yzpt/vlille_gcp

Exploring GCP services through the implementation of an ETL of data from the V'lille API 🔗

Cloud Functions, Pub/Sub, Scheduler, Storage, Dataproc & BigQuery.

Deployment of a dashboard on Cloud Run with Flask, Docker, Google Maps JS, ChartJS.

https://dashboard-service-dxpal7wuuq-od.a.run.app/

Streaming cluster with Docker, Kafka, Spark & Cassandra

🔗 https://github.com/yzpt/docker_cluster_streaming

A project where I discovered and learned: *Docker and the deployment of a VM cluster with docker-compose *Kafka: shell and python client, SASL/PLAIN authentications, and ACL authorizations *Spark: shell and python client, Dataframes, Spark Streaming, Kafka and Cassandra connectors *Maven: dependencies, repositories, Spark operators for Kafka and Cassandra. I faced several compatibility issues between the versions of Spark, Scala & Kafka used in Docker images.

I enjoyed the Ops aspect of the job, which led me to strongly focus on Kubernetes, which I have begun to get to grips with.

Implementation of SASL/PLAIN authentication and ACL authorizations on Kafka.

🔗 https://github.com/yzpt/upw_test_kafka_spark_docker

Docker + Airflow + PostgreSQL
GCP Composer + BigQuery

🔗 https://github.com/yzpt/airflow_carburants

ETL of fuel prices with Airflow in three versions:

Local
Docker + Airflow + PostgreSQL
GCP Composer + BigQuery

Zapmaths: web application for practicing calculation skills

🔗 https://github.com/yzpt/zapmathss

Application developed and used during my career as a certified mathematics teacher in a vocational high school.

Developed during lockdown with a foundation in Php/mySQL on a LAMP server. It reignited my interest in coding and led me to use Python.

It was an effective learning tool, well-received and heavily used by students who each processed thousands of questions per academic year.

Detailed tracking of student activities
Questions with semi-random numerical data, the statements, diagrams, charts, and corrections are dynamically generated based on the generated values.
Web application in Php/mySQL on a LAMP server.