Hi, I'm Jan Khoury

Backend Software Engineer

I'm a data-driven Backend Engineer specializing in building scalable, high-performance microservices and APIs. With expertise in Python, cloud technologies, and data integration, I transform complex data processes into efficient solutions. I'm passionate about building robust systems that help researchers and organizations make better use of their data.

Contact Experience Resume

terminal
$
whoami
Jan Khoury - Backend Software Engineer
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ls -la skills/
total 42
drwxr-xr-x  Python FastAPI TypeScript Java
drwxr-xr-x  SQL Cypher SPARQL Docker
drwxr-xr-x  GCP Terraform CI/CD Microservices
$
cat experience.txt | grep -i "specialization"
Data integration, microservices, cloud infrastructure, API development

Work Experience

My professional journey and contributions in software engineering

Junior Data Engineer

WebPros

Germany (Remote)

July 2025 — Present

Design and implement new data pipelines to support various data processing needs
Optimize existing data pipelines for performance, reliability, and cost-effectiveness, implementing best practices in data engineering
Set up monitoring systems to track the performance and health of data pipelines
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and integrate new data sources into existing pipelines
Maintain clear and comprehensive documentation of data pipeline architecture, processes, and workflows to ensure knowledge sharing and continuity
Assess potential future data sources, evaluating their relevance and feasibility for integration into our data ecosystem
Work closely with cross-functional teams to understand data needs and provide support in data-related projects

Backend Software Engineer

Ocean Data Integration Initiative

Germany (Remote)

Apr 2022 — June 2025

Developed multithreaded microservices for an oceanographic data platform using FastAPI, Pydantic, SQLAlchemy, and Pandas, reducing data processing times and research workloads
Implemented REST APIs and integrated poorly documented external data sources, simplifying research data collection by providing access to 1M+ datasets through a single interface
Decomposed a monolithic data integration system into 3 microservices and owned them end-to-end, allowing independent service scaling and improving maintainability
Provisioned GCP infrastructure containing databases and serverless components, and automated deployment using Terraform, GitLab CI/CD, and Docker
Denormalized PostgreSQL database tables and embedded simple foreign tables into JSON array columns, eliminating complex joins and improving the overall data integration performance
Converted OWL ontologies into Neo4j graphs and SPARQL queries into Cypher, accelerating node retrieval and ontology load times, and enhancing the ontology visualization interface

Skills & Expertise

The tools and technologies I work with

Programming Languages

Python

TypeScript

Java

JavaScript

Frameworks & Libraries

FastAPI

Express.js

React

Next.js

Pandas

Pydantic

Pytest

Cloud & Infrastructure

Google Cloud Platform

BigQuery

Cloud SQL

Cloud Storage

Cloud Run

Cloud Build

Terraform

Docker

GitLab CI/CD

Databases & Query Languages

PostgreSQL

Neo4j

Firebase

SQL

Cypher

SPARQL

Backend Development

95%

Cloud Infrastructure

90%

Database Design & Optimization

85%

API Development

95%

CI/CD & DevOps

85%

Projects

A showcase of my technical projects and solutions

Personal Portfolio Website

HTML5 CSS3 JavaScript Responsive Design

Designed and developed this responsive portfolio website from scratch using modern HTML5, CSS3, and JavaScript. The site features a clean, accessible interface with smooth animations, interactive elements, and optimized performance across all devices and screen sizes.

Oceanographic Data Integration Platform

Python FastAPI Pandas GCP Microservices Ontologies

Took part in engineering a platform that integrates, processes, and delivers oceanographic data from multiple sources, enabling researchers to access and analyze large datasets efficiently. The architecture included multiple microservices, each handling specific aspects of data integration.

Teen Driver Monitor

Arduino GPS GSM LCD IoT Hardware

Built a driver monitoring system using Arduino Nano, which detects driving speed with a NEO-6M GPS module, measures alcohol levels with an MQ-3 gas sensor, reports results to guardians via SMS using a GSM SIM900A module, and displays them in real time on an LCD screen.

Education & Learning

My educational background and learning journey

Self-Taught Software Engineer

Continuous Learning & Growth

I'm a self-taught software engineer with a background in chemistry and electronics from high school. My journey began by picking up a Python book in my teen years, which sparked my passion for programming.

I explored the Linux world, from Ubuntu to Gentoo, learning C and writing shell scripts along the way. This hands-on experience with systems and low-level programming provided a solid foundation for my engineering career.

Through determination and continuous learning, I landed my first professional role and have been progressing my skills ever since. I believe in learning by doing and continually expanding my technical knowledge to tackle complex challenges.

Languages

Communication skills across multiple languages

Arabic

Native

English

Full Professional Proficiency

Hebrew

Full Professional Proficiency

German

Limited Professional Proficiency

Get In Touch

I'm always open to discussing new projects, opportunities, or collaborations

[email protected]

+49 15206854786

LinkedIn Profile

GitHub Profile

Berlin, Germany

EU Citizen

terminal
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./check_availability.sh
Checking Jan's availability status...
Current status: Available for new opportunities
Response time: Usually within 24 hours
Preferred contact method: Email or LinkedIn
$
echo "Looking forward to connecting with you!"
Looking forward to connecting with you!

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