Data Lake Experts in Hamburg
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Meet FRATCH Experts in Hamburg, who have recently used Data Lake
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Christian Frauer
Last position:
Department Head (Interim) at Municipal utilities and transport company
- Definition and setup of the subject areas
- Building a governance model for the department with the areas of responsibility
- IT strategy, project management, process management, and quality and sustainability management
- Developing a communication strategy within the group
- Creating the IT strategy
- Designing templates, guidelines, and processes for consistent work
- Capturing strategic guardrails and grouping ongoing projects – deriving a roadmap for strategic planning
- Reviewing ongoing projects
- Creating staffing calculations and volume structure
- Defining job profiles
Oliver Voss
Last position:
Interim Manager and Business Consultant at Self-employed
- Development of an entry strategy for the claims area of an insurance service provider.
- Analysis and optimization of existing claims processes.
- Definition of management metrics and KPIs to improve performance and efficiency.
- Advising management on market positioning and process digitalization.
- Leading an IT team with 13 employees in a temporary vacancy role.
- Ensuring stable IT operations and managing external IT service providers.
- Leading regulatory projects, especially for the implementation of the DORA regulation.
- Preparation for and support during an IT security audit.
- Change management and conflict moderation in a challenging transformation environment (FI migration).
Enrique Gallardo
Last position:
Security Architect at Capgemini
I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.
Marcus Brandt
Last position:
Managing Director at Petermann Brandt GmbH
- Development and implementation of custom IT solutions for key customers.
- More than 15 years of experience in IT and project management, disciplinary leadership of up to 80 employees.
Pouya Fakhari
Last position:
Senior Project Manager at Circle K Deutschland GmbH
- Steering the rebranding of more than 40 applications, over 300 user accounts, and over 150 group mailboxes
- Coordinated with business units, key users, and technical providers for scheduling and implementation
- Analyzed 12 audit findings, developed a transition roadmap, and executed all measures on time
- Defined the new scope according to BSI guidelines
- Supported auditor selection process and prepared status reports for BSI
- Designed a new role model in SAP, aligned with management, and implemented it
- Created and delivered target-group-oriented training for responsible specialists
- Coordinated requirements with network architects, evaluated vendors, and supported contract conclusion
- Managed pre-staging of 300 laptops including configuration management
- Ensured accessibility of critical TotalEnergies applications via VNext / Workspace Access with authentication strategy using Yubikey and Microsoft Authenticator
- Supported go-live while meeting compatibility, security, and availability requirements
- Shifted from a big-bang to an iterative rollout model to reduce risk
- Defined an IT-side on/offboarding process for dual identities (TotalEnergies & Circle K)
- Ensured technical data integrity between Workday, Entra ID, and O365
- Implemented SAP-JDE cost center logic for ServiceNow orders
- Managed the change of company data in over 40 applications, including web portals, templates, and communication
- Led the SEPA mandate changeover for more than 2000 customers
- Oversaw SAP billing logic implementation through an external development team, including testing and go-live validation by 2025-01-01
- Collected IT-related auditor queries, coordinated with internal stakeholders, and prepared response documentation
- Planned and managed migration of 1200 TB of data between two M365 tenants
- Ensured data integrity, access continuity, and minimal downtime across OneDrive, Teams, SharePoint, and mailboxes
- Migrated data lake solutions (AWS & Databricks) in coordination with cloud architects and business units
- Coordinated testing, bug fixes, and go-live in close collaboration with internal teams and external partners
Anurag Singh
Last position:
Data Analyst (SME) at Cognizant
- Build data pipelines for raw and curated data layers using AWS S3, Glue, Athena, and Lake Formation
- Establish CI/CD using GitHub Actions or GitLab CI with CodePipeline
- Prototype models into demo APIs packaged with Docker, versioned with Git, added basic tests with pytest, and assist deployments on AWS SageMaker Endpoint
- Perform exploratory data analysis and feature engineering with pandas and PySpark; track experiments in MLflow or Weights and Biases
- Design and execute A/B tests to optimize user engagement and drive data-informed decisions
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
Kai Pohl
Last position:
Microsoft Azure Synapse and Power BI Developer at Consulting company / International insurance brokerage group
- Built a Microsoft Azure Synapse Data Warehouse solution and developed ETL structures for an international insurance brokerage company
- Created tables, views, and pipelines in Azure Synapse
- Developed Power BI reports for controlling and tax reporting (BAB, IER)
- Technology stack: Microsoft Azure Synapse (Synapse SQL, Synapse Pipelines), Microsoft Power BI (semantic data model, reports), Azure DevOps (Boards, Repos)
- Development languages: DAX, M, SQL
Discover over 15,000 top freelancers
Statistics of experts using Data Lake
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 18 years)
Position duration
2.3 years (Germany: 2.4 years)
Positions per freelancer
14 (Germany: 10)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Energy, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
71% (Germany: 70%)
Doctorate
29% (Germany: 17%)
Certifications per freelancer
7 (Germany: 4)
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 Hamburg 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 Hamburg using Data Lake
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
Data lake basics
A data lake stores raw and refined data in one place, ready for analysis, reporting, and machine learning. It is built for scale and flexibility, so teams can keep structured and unstructured data without forcing it into a fixed schema too early.
Common stack
- Cloud storage such as Amazon S3, Azure Data Lake Storage, or Google Cloud Storage
- Ingestion with Kafka, Spark, Airflow, Fivetran, or custom pipelines
- Table layers and formats such as Delta Lake, Apache Iceberg, or Apache Hudi
- Access control, cataloging, and data quality checks
When specialists help
Companies bring in freelance experts when pipelines are messy, query performance drops, or data ownership is unclear. They also help when a warehouse is too rigid and teams need a lake for raw event data, files, logs, and mixed source systems.
What strong experts do
Strong professionals design clear zones for landing, cleansing, and serving data. They also document ownership, set naming rules, and make sure analysts, data engineers, and machine learning teams can trust the same source.
Hamburg use cases
In Hamburg, data lake work often supports logistics, trade, media, and industrial data flows. Hybrid collaboration is common, so companies look for specialists who can work in English and align with local teams on governance, security, and delivery.
Quality signals
Look for experts who can explain ingestion design, file formats, partitioning, schema evolution, and access control in plain language. Good specialists also know when a classic warehouse is enough and when a data lake or lakehouse approach is the better fit.
Frequently asked questions
Everything clients usually want to know about Data Lake, in one place.
A strong Data Lake setup brings raw files, event streams, logs, and partner feeds into one place for analysis and machine learning. It is useful when teams need flexible storage before they know the final data model. Many projects use it as the base layer for reporting, experimentation, and data products.
A Data Lake keeps data in its original or lightly processed form, while a warehouse usually stores curated data in a fixed structure. That makes the lake better for exploration and mixed formats, but it also needs stronger governance. Many companies use both: the lake for breadth, the warehouse for stable reporting.
Bring in Data Lake specialists when ingestion keeps breaking, storage costs are rising, or teams cannot find the right data fast enough. They are also useful during cloud migrations, platform redesigns, or governance cleanups. A freelancer can help clarify architecture before the team commits to a long build.
A Data Lake professional should usually know cloud storage, SQL, one or more processing engines like Spark, and orchestration tools such as Airflow. Knowledge of data modeling, metadata catalogs, access control, and data quality is also important. For streaming use cases, Kafka or similar event tooling is often part of the stack.
A Data Lake can start with a generalist if the scope is small and the data sources are simple. Once you deal with multi-team access, schema evolution, or mixed batch and streaming loads, a specialist is the safer choice. The more the lake becomes a shared platform, the more valuable deep experience gets.
Yes, most Data Lake work can be done remotely because the core tasks are architecture, pipeline design, and troubleshooting. On-site time only becomes important when workshops need close alignment with local business, security, or operations teams. In Hamburg, many companies mix remote delivery with a few focused onsite sessions.
A good Data Lake expert can explain trade-offs clearly and show how they prevent duplicate data, broken schemas, and hard-to-find files. Look for practical work on partitioning, metadata, governance, and monitoring, not just tool names. Strong specialists also leave behind clear documentation and handover notes.
No, a Data Lake and a lakehouse are related but not identical. A lakehouse adds more warehouse-like structure and transaction support on top of lake storage. If your team needs flexible raw storage first, the lake is often the starting point; if you need stronger table management, lakehouse features may matter more more.
The average hourly rate of freelancers in Hamburg, Germany who have used Data Lake in their recent projects is 106 €, which corresponds to a daily rate of about 849 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Data Lake in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Data Lake in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are German (100%), English (100%), and Spanish (11%).
The most common industries among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are Information Technology (100%), Energy (44%), and Banking and Finance (44%).
The most common business areas among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are Information Technology (100%), Business Intelligence (89%), and Project Management (78%).
Main locations of FRATCH Experts, who have recently used Data Lake
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.
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