Description

I am a Python developer focused on building backend systems, data pipelines, and automation tools that solve real-world problems.

My work revolves around designing modular and scalable systems that process, analyze, and distribute data across different platforms. I specialize in API integrations, backend architecture, and automation workflows.

I have built systems including deal intelligence platforms, arbitrage detection pipelines, and personalized recommendation bots. These projects combine data ingestion, processing logic, scoring systems, and multi-channel output (Telegram bots and web interfaces).

Core focus areas:

Backend system design in Python

API integrations (e.g. pricing and marketplace data)

Data pipelines and processing architectures

Automation systems and bots (Telegram-based systems)

Rule-based and data-driven decision systems

I also have an academic background in E-Commerce Management, which complements my technical work with a strong understanding of digital business models, marketplaces, and data-driven product strategies.

I prefer working on structured systems where data, logic, and automation come together to create scalable and efficient solutions.

Languages

German
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Düsseldorf (up to 50km)

Self Employed
Python Data Engineer | E-commerce Arbitrage & Pricing Intelligence Pipeline
May 2026 - Today (2 months)
Designed and implemented an end-to-end data-driven arbitrage pipeline for detecting and evaluating profitable e-commerce deals across multiple marketplaces.

The system aggregates product data from multiple sources, applies multi-stage filtering and enrichment, and evaluates deal profitability using historical pricing data combined with external market signals (including eBay API and sold listings analytics).

Pipeline stages:

Product ingestion and normalization
Price and category-based filtering
Deal detection via historical price comparisons
External market validation using eBay pricing and demand signals
Scoring and decision-making based on profitability thresholds and statistical metrics
Automated distribution via Telegram notifications

The architecture is modular, extensible, and designed for scalable data-driven decision-making.
E-commerce API Back-End development SQL Python
Self-Employed
Python Backend & Data Engineer | E-commerce Deal Intelligence & Automation System
September 2025 - December 2025 (3 months)
Düsseldorf, Germany
Developed a Python-based e-commerce deal intelligence system integrating the KEEPA API, custom data processing pipelines, and multi-channel distribution via Telegram bots and a web interface.

Designed and implemented a modular backend architecture that ingests, processes, and evaluates product data using rule-based filtering and dynamic pricing logic.

Built a personalized Telegram bot that delivers user-specific deal recommendations based on behavioral and rule-driven filtering powered by backend data pipelines.
Python E-commerce API Back-End development SQL