03.08.2026 aktualisiert
100 % verfügbar
Senior Big Data & AI Consultant
Michelstadt, Deutschland
Weltweit
Energiewirtschaft und Informatik M. Sc.Über mich
Senior Big Data & AI Consultant with expertise in designing scalable data platforms and analytics solutions. I combine strong data analytics and engineering know how with communicational skills, translating complex requirements quickly and effectively into actionable business insights.
Skills
Azure DatabricksdbtAzure DevOpsAgile MethodologieApache AirflowAtlassian ConfluenceAtlassian JiraBig DataData ArchitectureETLGitHubGoogle AnalyticsData IntelligenceJob SchedulingPython
Senior Big Data & AI Consultant
Core Skills
1. Data Engineering & Architecture: Big Data, Scalable pipelines, ETL, Python, SQL, Spark
2. Advanced Analytics: Model evaluation, AI-driven decision support, KPI optimization
3. Collaboration & Leadership: Stakeholder alignment, requirement engineering, and coordination - bridging technical solutions with business logic
Recent Projects:
1. Big Data Project (Automotive): Built scalable pipelines, and optimized data models, implemented data quality measures
2. Data Analytics Project (FinTech): Development of data architectures for high-performance reporting solutions and analysis of complex web and app data.
3. Decision Support Model (Manufacturing): Developed an AI-driven system for Google Ads budget optimization and integrated multiple data sources
4. Pre-Acquisition Assessment Tool (Marketing): Designed automated website evaluation workflows and implemented AI-based evaluation logic
5. Persistence Strategy Optimization (Energy): Improved time-series data storage with optimized persistence strategies, resulting in 15x faster data ingestion and improved application usability
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2025
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischverhandlungssicher
Projekthistorie
Ingestion, processing and visualization of terabytes of data from various sources.
Stack:
Google Cloud, BigQuery, Azure Devops, Databricks, Spark, SQL, Python, PowerBI.
Tasks:
Elaborate requirements, needs and strategies for the project with the client and stakeholders then work on them operationally and distribute them to teammembers.
Achievements:
Was able to refine existing backend architecture and table structure to mitigate dimension complexity problems, introduce testing strategies and reduce dataset loading time in PowerBI by over 80% within the first year.
• Advanced analysis of large-scale web and app data
• Conceptualization and development of data models
• Development and optimization of complex PBI reports
Technologies & Tools:
• Python, SQL
• Sklearn, Flask
• PostgreSQL
• Google Cloud Platform
• Looker Studio
• Google Search Console, GA4, Google Ads
Description:
• Development of an AI-based system for budget optimization of Google Ads campaigns
• Data integration and preprocessing from multiple sources (including GA4, Google Search Console, Google Ads)
• Evaluation and fine-tuning of different machine learning models for optimal budget allocation based on defined KPIs (e.g., conversions, CPC, CPA)
• Data provisioning in various formats and collaboration with analysts and web developers on BI tool integration and web interface development
Results & Achievements:
• Built a data-driven decision model to significantly improve budget efficiency
• Cross-platform availability of results in web and BI systems