Beschreibung

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.

Sprachen

Deutsch
Muttersprachlich oder zweisprachig
Englisch
Konversationssicher

Arbeitsortpräferenzen

Vor Ort möglich

Düsseldorf (bis zu 50 km)

Self Employed
Python Data Engineer | E-commerce Arbitrage & Pricing Intelligence Pipeline
Mai 2026 - Heute (2 Monate)
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 - Dezember 2025 (3 Monate)
Düsseldorf, Deutschland
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