About 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.
German
Conversational
English
Fluent
Turkish
Native or bilingual
Remote only
Primarily works remotely
Experience
- German E-Commerce CompanyData AnalystE-COMMERCEApril 2026 - April 2026Munich, GermanyMarketing 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 PlatformFebruary 2026 - May 2026 (3 months)Munich, GermanyDesigned 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 - January 2026 (2 months)Munich, GermanyDesigned 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
Recommendations
Be the first to recommend Hasan
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Bachelor of Engineering in Electronics and Communication EngineeringIstanbul Technique University2020Bachelor Electronics and Communication Engineering
- Master of Science in Computer EngineeringIstanbul Technique University2024Master Computer Engineering
Certifications
- Data ScienceWBS Coding School2025