27.03.2026 aktualisiert
100 % verfügbar
Data Engineer & Analytics Engineer
Ginsheim-Gustavsburg, Deutschland
Ginsheim-Gustavsburg +50 km
MS in Data ScienceÜber mich
Data & Analytics Engineer (MS, Germany) with 3+ years in ETL/ELT. I’ve built 180+ pipelines using dbt, Snowflake, and Airflow to turn raw data into Power BI insights. Expert in star schema modeling and data governance to ensure high-quality, audit-ready reporting.
Skills
Künstliche IntelligenzApache AirflowAmazon Web ServicesData AnalysisSoftwareanwendungenAutomatisierungGoogle BigQueryCloud ComputingDatenmodellDatenqualitätDatensystemeDatenvisualisierungForecastingWissenschaftenGitHub
I am a Data & Analytics Engineer with over 3 years of hands-on experience building production-grade data solutions. My expertise spans the entire data lifecycle, from raw ingestion to delivering stakeholder-ready BI dashboards in cloud-native environments like AWS, Snowflake, and Azure.Core
Technical Experience
- Analytics Engineering: I have architected and managed over 180 end-to-end ELT pipelines processing millions of records. I specialize in using dbt to build robust transformation layers using Star and Snowflake schemas.
- Data Quality & Governance: A key pillar of my work is reliability; I have built SQL-based validation frameworks to detect discrepancies and reconcile data against source systems, significantly reducing reporting incidents.
- BI & Data Visualization: I transform complex datasets into actionable insights using Power BI (Advanced DAX) and Tableau. I have delivered production dashboards tracking cost, utilization, and attribution metrics to replace manual reporting.
- Machine Learning & Automation: I have developed time-series forecasting models and end-to-end ML pipelines on Azure Databricks, covering everything from feature engineering to production deployment.
Knowledge & Tools
- Languages: Expert-level SQL (Window Functions, Query Optimization) and Python (Pandas, Scikit-learn).
- Orchestration & Storage: Proficient with Apache Airflow, Azure Data Factory, and cloud warehouses like BigQuery and Snowflake.
Academic Foundation
I hold an MS in Data Science from the University of Europe for Applied Sciences in Germany, where my research focused on learning analytics and data modeling using Docker and Airflow. This is complemented by a Master of Computer Applications with a focus on statistical analysis.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschGrundkenntnisseEnglischMuttersprache
Projekthistorie
Architected and owned 180+ end-to-end ELT pipelines processing millions of healthcare insurance records across AWS S3, Snowflake and PostgreSQL. Built SQL-based validation and data governance frameworks, delivered three production Power BI dashboards, and acted as primary technical escalation point for data quality issues.
Developed and maintained time-series forecasting models for inventory planning across Amazon seller storage locations. Built end-to-end ML pipelines on Azure Databricks and Azure ML, delivered Power BI dashboards to track forecasting accuracy and operational KPIs.
Built ETL workflows in SSIS to populate a centralised data warehouse and designed a star schema tabular model in SSAS for analytical reporting. Created a KPI-driven Power BI dashboard to monitor warehouse storage status, cycle count accuracy, and utilisation rates.