freiberufler DevOps Engineer / Data Engineer / Chief Technologist auf freelance.de

DevOps Engineer / Data Engineer / Chief Technologist

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  • auf Anfrage
  • 70569 Stuttgart
  • Europa
  • de  |  en  |  es  |  fr
  • 20.11.2024

Kurzvorstellung

A seasoned professional with expertise in Data Engineering, DevOps, and Cloud Architecture, who excels at leveraging cutting-edge technologies and modern methodologies to drive projects to first-league performance.

Qualifikationen

  • Amazon Web Services (AWS)
  • Apache Kafka2 J.
  • Continuous Integration
  • DevOps (allg.)2 J.
  • Docker1 J.
  • Java (allg.)
  • Kubernetes1 J.
  • Microsoft Azure1 J.
  • Python1 J.
  • Testen

Projekt‐ & Berufserfahrung

Interims Product Owner "Real-Time Platform"
Kundenname anonymisiert, Berlin
5/2024 – offen (1 Jahr, 3 Monate)
Versorgungswirtschaft
Tätigkeitszeitraum

5/2024 – offen

Tätigkeitsbeschreibung

As Interims Product Owner and Lead Data Engineer, I transform a real-time data platform and real-time data products into production-grade solutions, ensuring reliability, scalability, and performance. The project develops a modular control center solution for a European power grid in the face of renewable energy sources.

Eingesetzte Qualifikationen

DevOps (allg.), Apache Kafka

Lead Data Engineer
Kundenname anonymisiert, Berlin
3/2023 – 4/2024 (1 Jahr, 2 Monate)
Versorgungswirtschaft
Tätigkeitszeitraum

3/2023 – 4/2024

Tätigkeitsbeschreibung

Development of a Master Data System from scratch for a European Transmission System Operator (TSO). Data services (DataMesh concept) for network operations are defined and implemented for downstream customers. My duties: Data APIs, Azure DevOps Pipelines, Docker container definitions, K8s deployments, Kafka, Protobuf handling, stream data processing.

Eingesetzte Qualifikationen

Docker, Apache Kafka, Kubernetes, Microsoft Azure, Python

Dozent für Data Engineering
Kundenname anonymisiert, Remote
6/2022 – 11/2022 (6 Monate)
Automobilindustrie
Tätigkeitszeitraum

6/2022 – 11/2022

Tätigkeitsbeschreibung

Re-building 3 training modules "Data Management", "Stream Analytics", and "Data Engineering for Data Scientists"
Training

Eingesetzte Qualifikationen

Big Data, Data Science, Apache Kafka

Technischer Leiter: Computer Vision Toolbox
Kundenname anonymisiert, Süddeutschland
6/2021 – 6/2022 (1 Jahr, 1 Monat)
Fertigungsindustrie
Tätigkeitszeitraum

6/2021 – 6/2022

Tätigkeitsbeschreibung

Technische Leitung für ein Innovationsprojekt zur Entwicklung und Einführung einer cloud-basierten Visual Inspection Platform in der Metallverarbeitung.

Eingesetzte Qualifikationen

Technische Projektleitung / Teamleitung

DevOps Engineer: Advanced Monitoring Solution for Rail Infrastructure
Kundenname anonymisiert, Berlin
2/2021 – 3/2022 (1 Jahr, 2 Monate)
Bahntechnik
Tätigkeitszeitraum

2/2021 – 3/2022

Tätigkeitsbeschreibung

DevOps Engineering; Kubernetes; Docker; Kafka; Stream Analytics; Python Backend; JavaScript / React Frontend

Eingesetzte Qualifikationen

Backend, DevOps (allg.)

Solution Architect u. Technical Bid Lead: Big Data for Earth Observation Data and IoT Data / Smart City Context (Festanstellung)
Kundenname anonymisiert, Den Haag
6/2020 – 8/2020 (3 Monate)
Luft- und Raumfahrtindustrie
Tätigkeitszeitraum

6/2020 – 8/2020

Tätigkeitsbeschreibung

To combine Earth Observation (EO)-data from satellite systems with earth-bound IoT sensor data, an open data analytics platform shall be designed and verified by a prototypic implementation.
My tasks:
- Technical bid lead
- Project proposal
- Demo case setup
Project budget: 400.000€

Eingesetzte Qualifikationen

Big Data, Cloud (allg.)

Solution Architect: Data Analytics in Retail (Festanstellung)
Kundenname anonymisiert, Hamburg
8/2019 – 9/2020 (1 Jahr, 2 Monate)
IT & Entwicklung
Tätigkeitszeitraum

8/2019 – 9/2020

Tätigkeitsbeschreibung

A major German retail company wanted to renew their Data & Analytics environment asking for strategic advisory and for project support. As Chief Technologist, it was my role to discuss options and future strategy with the client.
My tasks
- Client communication & industry understanding
- Design of a scalable data pipeline for retail with cloud-native components
- Test concept for data analytics and software solutions
- Leading a PoC implementation

Eingesetzte Qualifikationen

Cloud (allg.), Virtualisierung (Allg.)

Solution Architect + Technical Bid Lead: Data Lake for Autonomous Driving R&D (Festanstellung)
Kundenname anonymisiert, Stuttgart
8/2018 – 12/2018 (5 Monate)
Automobilindustrie
Tätigkeitszeitraum

8/2018 – 12/2018

Tätigkeitsbeschreibung

A major German automotive company requested a maintenance and development service for its Data Lakes for autonomous driving R&D
My tasks:
- Technical bid lead
- Project alignment with client
- Team setup
- Bid formulation
Bid volume: 2.5Mio€ (successful)

Eingesetzte Qualifikationen

Agile Methodologie, Big Data, Cloud (allg.), Data Science

Tech Advisor Data Science: Data Analytics to Optimize Aircraft Operations (Festanstellung)
Kundenname anonymisiert, Madrid
1/2018 – 8/2018 (8 Monate)
Luft- und Raumfahrtindustrie
Tätigkeitszeitraum

1/2018 – 8/2018

Tätigkeitsbeschreibung

A major company in aviation industry developed a data analytics service for airlines. Analytics components of this service are developed by data science teams.
My role: Tech Advisor for the client and for data science teams.

Eingesetzte Qualifikationen

Big Data, Data Science

Interims Project Manager: Data Warehouse Implementation (Festanstellung)
Kundenname anonymisiert, Düsseldorf
6/2017 – 10/2017 (5 Monate)
Handel
Tätigkeitszeitraum

6/2017 – 10/2017

Tätigkeitsbeschreibung

A major German retail company wanted a Data Warehouse solution to integrate and analyze its sales information from all domestic and international stores.
My tasks
- Interims management of the project with 5 development teams
- Client interaction
- Coordination of staffing
- Coordination with freelancers
- Coordination with testing from a different consulting company

Eingesetzte Qualifikationen

Agile Methodologie, Data Warehousing

Team Lead Data Science: Predictive Maintenance for Industrie 4.0 (Festanstellung)
Kundenname anonymisiert, Bremen
11/2016 – 3/2017 (5 Monate)
Automobilindustrie
Tätigkeitszeitraum

11/2016 – 3/2017

Tätigkeitsbeschreibung

A major German automotive manufacturer wanted to explore possibilities to predict production line failures by AI/ML technologies.
My tasks as managing solution architect and project lead and team lead
- Project setup with the client / contract negotiation
- Team Lead of a data science team
- Solution concept
- Client communication

Eingesetzte Qualifikationen

Agile Methodologie, Data Science

Cloud + Big Data Engineer: Hybrid Data Lake for Insurance (Festanstellung)
Kundenname anonymisiert, München
8/2016 – 3/2017 (8 Monate)
Versicherungen
Tätigkeitszeitraum

8/2016 – 3/2017

Tätigkeitsbeschreibung

A major German re-insurance company wanted to develop a concept for a hybrid data lake supporting the Open Data concept.
My tasks
- Solution Architecture
- Product evaluation
- Client communication
- Prototype setup
- Testing

Eingesetzte Qualifikationen

Big Data, Cloud (allg.)

Team Lead Data Science: Mobile Network Data Analytics (Festanstellung)
Kundenname anonymisiert, Helsinki
11/2015 – 3/2016 (5 Monate)
Telekommunikation
Tätigkeitszeitraum

11/2015 – 3/2016

Tätigkeitsbeschreibung

A major nordic telco operator was building a data lake to analyze data from mobile networks aiming at identifying network issues, improve network quality, and to reduce customer churn.
My tasks:
- Leading an agile team to onboard data sources
- Communication in a larger project environment with several service companies and the client
- Test management / quality accountability

Eingesetzte Qualifikationen

Agile Methodologie, Big Data, Data Science

Zertifikate

Engagement Manager, Capgemini (Foundation Level)
2018

Ausbildung

Elektrotechnik und Informationstechnik
Dipl.-Ing.
1999
Universität Stuttgart

Über mich

My clients appreciate the distinctive combination of practical technical expertise and strategic insight that I bring to each engagement. Motivated by a genuine passion for creating positive, lasting outcomes for all involved, I prioritize the success of both the project and the team over individual recognition. My broad experience in practical data engineering and large-scale data environments has consistently delivered meaningful results across a range of industries.

Building reliable data services involves a combination of good architectural practices, robust infrastructure, and rigorous operational procedures. Elevating projects to this level requires taking the right architectural decisions, adopting the right philosophies and adjusting development and operations processes.

Weitere Kenntnisse

- DevSecOps, DataOps
- CI/CD (Azure DevOps, Gitlab, Jenkins)
- Data Mesh
- Stream Analytics & Event Processing
- AI, MLOps
- Data Science, Management of Data Science Initiatives
- SQL, NoSQL
- Kubernetes & Docker
- Azure, AWS
- Testing, Test Management
- Python, Java, JavaScript, Golang, C/C++

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Spanisch (Grundkenntnisse)
  • Französisch (Grundkenntnisse)
Reisebereitschaft
Europa
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Home-Office
bevorzugt
Profilaufrufe
4371
Berufserfahrung
26 Jahre und 6 Monate (seit 01/1999)

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