Über Hasan
🔎 Data Engineer | Building Production-Ready Data Platforms
I design and build end-to-end data systems — from ingestion to analytics — that turn raw data into reliable, decision-ready insights.
Based in Munich, I work with startups and growing companies to build scalable data infrastructure, automate pipelines, and deliver clean datasets for analytics and machine learning.
🚀 What I deliver
• End-to-end data pipelines (API, batch, streaming-ready)
• Layered architectures (raw → staging → analytics) with dbt
• Data modeling & warehouse design (PostgreSQL)
• Workflow orchestration (Apache Airflow)
• Backend services for data platforms (FastAPI, SQLAlchemy)
• Interactive dashboards & internal tools (Streamlit)
• ML-ready datasets & feature engineering
🧠 Selected Projects
🚆 Mobility Delay Data Platform
• Built a hybrid pipeline (batch + near real-time) integrating API and parquet data
• Designed a layered data model (raw → staging → analytics) using dbt
• Orchestrated ingestion and transformations with Apache Airflow
• Normalized and unified multi-source datasets into a single analytics layer
• Implemented delay metrics, feature engineering, and aggregation models
• Developed a Streamlit dashboard for delay trends, peak hours, and performance analysis
• Containerized the system using Docker with persistent PostgreSQL storage
✈️ AI Trip Planner
Built a full-stack, data-driven travel recommendation platform.
• Integrated Google Places API for dynamic data ingestion
• Designed relational schema in MySQL
• Developed FastAPI backend with recommendation logic
• Built Streamlit interface for personalized trip suggestions
🪄 How I work
I focus on building systems that scale and remain maintainable over time:
• Clear data modeling and separation of layers
• Reproducible pipelines and modular design
• Production-oriented thinking (not just notebooks)
📩 Let’s talk
If you need help building or improving your data platform, feel free to reach out.
Deutsch
Konversationssicher
Englisch
Verhandlungssicher
Türkisch
Muttersprachlich oder zweisprachig
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- German E-Commerce CompanyData AnalystE-COMMERCEApril 2026 - April 2026Munich, DeutschlandMarketing Analytics | Python (pandas, Matplotlib, seaborn) | Transaction Data
- Cleaned and prepared a raw 85,000-row transaction dataset through deduplication, invalid order filtering (16.6% of records), and euro-cent format correction across three mixed formats, producing a reliable 64,555-row analytical base
- Defined a three-KPI framework (Average Order Value, Repeat Purchase Rate, Monthly Active Customers) to assess revenue quality, customer loyalty, and acquisition efficiency independently and in combination
- Identified a sustained 28% AOV decline (€273 → €197) through four-hypothesis root cause analysis — systematically eliminating shipping artifacts, coupon effects, and country mix shift before confirming H2 product mix shift toward budget items (€0–30) as the primary driver
- Uncovered a structural retention gap: 78.1% of customers purchased only once, yet repeat customers generated 3.7× more annual revenue (€754 vs. €203), making retention the highest-ROI lever available
- Revealed acquisition-led growth pattern: new customers represented 73–88% of monthly actives throughout the year, with 110% H2 customer growth driven by two identifiable campaign pulses
- Translated findings into three concrete recommendations — free shipping threshold, post-purchase retention programme, and lost customer reactivation — with a combined conservative revenue opportunity of ~€1.25M
- Personal ProjectMobility Delay Prediction PlatformFebruar 2026 - Mai 2026 (3 Monate)Munich, DeutschlandDesigned and built a production-style data engineering platform that ingests live railway timetable data from the Deutsche Bahn API and transforms it into ML-ready datasets for delay analysis and prediction.The system implements a layered architecture (raw → staging → analytics) with modular ETL pipelines, automated delay calculations, and feature engineering — all running in a Dockerized PostgreSQL environment with idempotent ingestion and JSONB storage for full reproducibility.Key technologies: Python · PostgreSQL · FastAPI · Docker · XML parsing · SQLAlchemy
- Personal ProjectAI Trip PlannerNovember 2025 - Januar 2026 (2 Monate)Munich, DeutschlandDesigned and built a data-driven travel planning platform with a clean 4-layer architecture: a FastAPI backend, an intelligence layer with custom place scoring and route optimization algorithms, a normalized MySQL database, and a Streamlit frontend.The scoring engine ranks locations by rating, popularity, distance, budget fit, and user preferences. Routes are optimized using a nearest-neighbor algorithm with travel time estimation.Key technologies: Python · FastAPI · MySQL · SQLAlchemy · Pydantic · Streamlit
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Ausbildung und Abschlüsse
- Bachelor of Engineering in Electronics and Communication EngineeringIstanbul Technique University2020Bachelor Electronics and Communication Engineering
- Master of Science in Computer EngineeringIstanbul Technique University2024Master Computer Engineering
Zertifizierungen
- Data ScienceWBS Coding School2025