Big Data Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Big Data
Dennis Dickmann
Last position:
Founder at Latence
- Founded Latence to commercialise runtime safety patterns from HALO as a deployable product.
- Built end-to-end as single technical founder with open-source stack on NVIDIA ecosystem.
- Developed TRACE: real-time safety layer for knowledge agents and RAG pipelines with groundedness scoring, prompt-attack detection, GDPR redaction, context compression, audit-ready traces.
- Developed vLLM Factory: production inference framework on vLLM with custom Triton kernels and 12 parity-validated plugin models, achieving up to 11.7× throughput vs vanilla PyTorch.
- Developed ColSearch: single-node multi-vector late-interaction retrieval engine with Rust SIMD and fused CUDA, achieving 3.12× FastPlaid geomean QPS on BEIR-8 and a 1.58-bit quantized lane 6.4× smaller than FP16.
- Developed llm-opt: LLM compression research framework with hierarchical importance, structured pruning, tabu search, knowledge distillation.
Will Orrantia
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
Albert Frischmann
Last position:
Lead Product Owner at CMBlu Energy AG
- Lead Product Owner for 4 development teams
- Leading and coordinating a greenfield project with parallel implementation of core components by independent teams; managing dependencies and resources
- Establishing a data lakehouse approach, including analysis of data volumes and future requirements as part of a cloud migration (best-of-breed approach)
- Responsible for requirements analysis, selection, and piloting of a LIMS/ELN system, supported by advising decision-makers and managing external vendors
- Introducing and managing an OpenWeb UI and Azure OpenAI-based RAG system to support knowledge extraction and data-driven analyses
- Setting up, configuring, and managing Jira projects, as well as developing project-specific workflows and automations
- Implementing classic Scrum processes with all ceremonies and taking on the Scrum Master role for all involved teams
- Assisting in hiring through interviews and assessments from a product owner's perspective
- Making key architectural decisions, including selecting the platform for the data lakehouse (Databricks) and the strategic integration of LIMS and analytics platforms
Lothar Hinsche
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and attack vector analysis, software quality & bug assessments
- Agile workload scheduling via Jira & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
Thomas Arends
Last position:
Interim Management at Vincorion Power Systems GmbH
- Process and project management to optimize products and development processes for energy systems
- Technical risk management
- Requirements engineering and system architecture
- System FMEA of power generator units and energy storage modules aiming for generic structures
- Claims management according to Section 313 of the German Civil Code
- Regulatory environment: military and NATO standards, AQAP, VG norms
Dean Rakic
Last position:
CEO / Chief Scientist at ENUM
- Blockchain platform technology
- Blockchain digital platform / Digital Economy.
Harshal Vaidya
Last position:
Project Intern at Global Shapers Stuttgart Hub
- Part of sustainability workshops and youth development sessions (“Purpose Factory”).
Tom Debus
Last position:
Co-founder & CTO at Ferris Labs AG
- Focused on talent and product development as well as solution architecture
Joachim Kahl
Last position:
Incubator at DatenBerg GmbH
Discover over 15,000 top freelancers
Statistics of experts using Big Data
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3.3 years (Germany: 3 years)
Positions per freelancer
14 (Germany: 12)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Professional Services
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
86% (Germany: 91%)
Master's degree or higher
86% (Germany: 64%)
Doctorate
14% (Germany: 17%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Stuttgart are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Stuttgart using Big Data
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Big Data is used to store, move, and analyze large, fast-changing data sets. It supports reporting, forecasting, fraud checks, customer analytics, and operational dashboards. Teams bring in specialists when data volume, variety, or speed outgrows simple databases and spreadsheets.
Common stacks
- Hadoop for distributed storage and batch processing
- Spark for large-scale data transformation and analytics
- Kafka for event streams and real-time pipelines
- Hive, Delta Lake, or cloud data lake tools for curated access
- SQL and Python for data work across teams
When to hire
Companies look for freelance specialists when a platform must be designed, rescued, or extended without slowing delivery. Typical cases include migrating from legacy reporting, fixing slow jobs, unifying data from many systems, or making near-real-time insights available to product and operations teams.
Strong profiles
Good professionals know data modeling, pipeline design, and performance tuning. They write clean SQL, understand distributed systems, and handle data quality, lineage, and access control carefully. Strong work is visible in reliable pipelines, clear documentation, and systems others can maintain.
Stuttgart needs
In Stuttgart, Big Data work often supports manufacturing, mobility, logistics, finance, and connected products. Some projects need on-site workshops with German-speaking stakeholders; others run smoothly remote if requirements, data access, and security rules are clear. The best specialists adapt to both.
Deliverables
A solid Big Data engagement should leave behind practical assets, not just code. That usually means ingestion jobs, transformation logic, monitoring, test data, and handover notes. The goal is a platform that keeps working when sources change, volumes rise, or new use cases arrive.
Frequently asked questions
Key details about Big Data, drawn from the questions we get asked most.
Big Data is used to collect and process large or fast-moving data from many sources, then turn it into reports, alerts, and product insights. It often sits behind data lakes, streaming feeds, and analytics layers that support business decisions. Companies hire specialists when they need scale, speed, and reliable data handling across systems.
Big Data is broader than a classic warehouse setup because it often includes batch, streaming, and unstructured data. A warehouse is still useful for governed reporting, but Big Data work is stronger when data comes from many systems or must be processed quickly. Many projects use both together.
A strong Big Data specialist should also know SQL, Python, data modeling, and distributed processing basics. Skills in cloud storage, orchestration, data quality, and monitoring matter just as much as tool names like Spark or Hadoop. Good communication is important when business teams depend on the data.
The right Big Data freelancer depends on the job, not just the résumé. For a pipeline fix or a focused migration, practical experience with similar data flows and tools is often enough. For platform design or production stability work, you want someone who has handled scale, failure cases, and handover before.
Big Data work still includes Hadoop in older environments and in some storage-heavy batch setups. Spark is often chosen for faster transformation, flexible processing, and broader use across batch and interactive workloads. A good specialist should know how to work with both and explain when each fits.
Yes, Big Data work is often done remotely if the specialist can access the right systems, data, and environments securely. In Stuttgart, some companies still prefer on-site sessions for stakeholder alignment, especially when many teams shape the requirements. Hybrid collaboration is common when data access rules allow it.
Look for clear examples of pipelines, performance tuning, and data quality decisions in Big Data projects. Strong specialists can explain trade-offs, failure handling, and how they would keep jobs observable and maintainable. Ask how they validate data and how they hand work over to the next team.
A Big Data project often includes Kafka for streams, Spark for processing, Hive or SQL engines for access, and cloud storage for the data lake. Python, orchestration tools, and monitoring stacks also appear often. The best specialist understands how these parts fit together, not just one tool in isolation.
The average hourly rate of freelancers in Stuttgart, Germany who have used Big Data in their recent projects is 108 €, which corresponds to a daily rate of about 865 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Big Data in their recent projects, 86% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Stuttgart, Germany who have used Big Data in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Stuttgart, Germany who have used Big Data in their recent projects are German (100%), English (100%), and Spanish (11%).
The most common industries among freelancers in Stuttgart, Germany who have used Big Data in their recent projects are Information Technology (89%), Automotive (78%), and Professional Services (67%).
The most common business areas among freelancers in Stuttgart, Germany who have used Big Data in their recent projects are Information Technology (100%), Product Development (89%), and Business Intelligence (78%).
Main locations of FRATCH Experts, who have recently used Big Data
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
