freiberufler Tech Consultant - Data Engineering , AI/ML Solutions & Cloud Architect auf freelance.de

Tech Consultant - Data Engineering , AI/ML Solutions & Cloud Architect

zuletzt online vor wenigen Stunden
  • auf Anfrage
  • 63477 Frankfurt
  • auf Anfrage
  • en  |  de
  • 18.06.2025

Kurzvorstellung

Senior Data Engineer, AI/ML Engineer, and Cloud Architect with 7+ years of experience
developing scalable data platforms, AI systems, and cloud-native architectures. Expertise

Qualifikationen

  • Apache Spark
  • API-Entwickler
  • Cloud Spezialist9 J.
  • Data Engineer8 J.
  • Data Warehousing3 J.
  • Database Developer
  • Databricks5 J.
  • Generative KI
  • Maschinelles Lernen
  • Python4 J.
  • Snowflake
  • Text-Extraction

Projekt‐ & Berufserfahrung

Freelancer - Data Engineering & AI/ML & Cloud Solutions
Freelancer- Germany & Remote, Frankfurt
4/2025 – offen (3 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2025 – offen

Tätigkeitsbeschreibung

• Developed LLM-based semantic matching engine with Llama-3.1 and Qdrant vector database

• Built Python FastAPI backend with Docker containerization and Kubernetes deployment

• Implemented GitLab CI/CD pipelines for automated testing, building, and deployment

• Created a Python web-scraping pipeline with automated scheduling for German job market data

• Developed ML algorithms for resume-job matching using NLP and vector embeddings

• Built RAG system for German tax documents with OCR extraction using
Tesseract and OpenCV

Eingesetzte Qualifikationen

API-Entwickler, Cloud Spezialist, Data Engineer, Maschinelles Lernen, Python, Text-Extraction

Senior Data Engineer & AI/ML Specialist (Festanstellung)
Commerzbank AG, Frankfurt
4/2020 – 3/2025 (5 Jahre)
Banken
Tätigkeitszeitraum

4/2020 – 3/2025

Tätigkeitsbeschreibung

• Architected end-to-end data platform on GCP with BigQuery, Dataflow, and real-time Kafka streaming (1M+ events/hour)

• Built MLOps pipeline on Vertex AI with automated CI/CD for model training and deployment

• Implemented Delta Lake data lakehouse on Databricks with Kubernetes-based microservices architecture

• Deployed auto-scaling GKE clusters reducing infrastructure costs by 40%

• Fine-tuned LLAMA2 model with LoRA for bank-specific document analysis processing 10K+ PDFs daily

• Developed LangChain-based RAG architecture with ChromaDB vector storage and automated OCR workflows

• Built application using NLP for customer segmentation and predictive analytics

• Developed PySpark-based credit risk models with automated feature engineering and CI/CD deployment

• Implemented real-time fraud detection system with Elastic Search, Logstash & Kibana

• Built automated data quality framework using Git & Jenkins pipelines

• Achieved 99.9% uptime for critical data pipelines through robust error handling and monitoring

Eingesetzte Qualifikationen

DevOps, Langchain, Data Engineer, Apache Kafka, Big Data, Cloud Spezialist, Data Scientist, Databricks, Informatica, Machine Learning

Data Engineer & Analytics Consultant (Festanstellung)
Deloitte, Germany
6/2016 – 3/2020 (3 Jahre, 10 Monate)
IT & Entwicklung
Tätigkeitszeitraum

6/2016 – 3/2020

Tätigkeitsbeschreibung

• Architected Hive-based data warehouse with automated ETL pipelines processing 30M+ records daily

• Implemented Elasticsearch search platform with automated indexing and NLP text enhancement

• Built cloud-native data pipelines on AWS with Lambda, Step Functions, and CodePipeline CI/CD

• Developed anomaly detection algorithms with statistical clustering and automated alerting

• Created ML-based fraud detection models with ensemble methods and automated deployment

• Built automated compliance workflows using Kubernetes microservices architecture

• Designed real-time analytics dashboards using Tableau

Eingesetzte Qualifikationen

Big Data, Cloud Spezialist, Data Science, Data Warehousing, Machine Learning, Python, Softwareentwickler, SQL

Data Scientist & Python Developer
CGI IT & Business Consulting, Munich
9/2013 – 5/2016 (2 Jahre, 9 Monate)
IT & Entwicklung
Tätigkeitszeitraum

9/2013 – 5/2016

Tätigkeitsbeschreibung

• Developed end-to-end ML pipelines with automated training, validation, and deployment workflows

• Implemented predictive models for insurance claims forecasting using regression & classification algorithms

• Created sentiment analysis engine with R and MapReduce on Hadoop HDFS

Eingesetzte Qualifikationen

Big Data, Data Engineer, Data Science, IT-Berater, Kundenberater, Softwareentwickler

Ausbildung

Master of Business Administration
Master of Business Administration
IE Business School, Madrid
2025
Madrid
Master of Data Science
Master of Data Science
Liverpool John Moores University
2023
Liverpool
Bachelor of Technology - Computer Science
Bachelor of Technology - Computer Science
BKBIET, PILANI
2013
India

Über mich

Senior Data Engineer, AI/ML Engineer, and Cloud Architect with 7+ years of experience
developing scalable data platforms, AI systems, and cloud-native architectures. Expertise in end-to-end ML pipelines, real-time data processing, and automated CI/CD workflows

Weitere Kenntnisse

• Data Engineering & ML Engineering: ETL/ELT Pipelines, Apache Spark, Kafka,
Airflow, MLOps, LLM Fine-tuning (LLAMA2, LoRA), LangChain, Scikit-learn, TensorFlow,
PyTorch
• Cloud & DevOps: GCP (Vertex AI, Big Query, Dataflow, GKE), AWS, Kubernetes, Docker,
Terraform, CI/CD (Jenkins, GitLab), Infrastructure as Code
• Programming: Python (Pandas, NumPy, FastAPI), SQL, Scala, R
• Databases & Storage: Snowflake, Big Query, PostgreSQL, MongoDB, Delta Lake, Vector
DBs (Qdrant, ChromaDB)
• Automation & Processing: OCR (Tesseract, Google Vision API), Document Processing,
Real-time Streaming, Data Quality Frameworks

Persönliche Daten

Sprache
  • Englisch (Muttersprache)
  • Deutsch (Fließend)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Home-Office
unbedingt
Profilaufrufe
82
Alter
33
Berufserfahrung
11 Jahre und 5 Monate (seit 01/2014)

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