Unity Catalog Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIHire experts who design unified governance models for data and AI, implement row- and column-level security, and audit data lineage across Databricks workspaces. FRATCH connects you with vetted, available freelance professionals in Germany precisely matched to your data infrastructure needs.
Meet FRATCH Experts in Germany, who have recently used Unity Catalog
Daryoosh Dehestani
Last position:
FP&A Data & AI Architect at Epta Group
Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.
Financial Data Integrity & ERP Governance
- Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
- Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
- Validated SAP reports, establishing baseline data quality standards for Finance team consumption
- Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs
Finance Reporting Transformation
- Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
- Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
- Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
- Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models
Power BI & Analytics Enablement
- Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
- Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
- Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team
Transformation Infrastructure & Collaboration
- Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
- Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
- Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization
Outcomes
- GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
- Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
- Power BI transformation roadmap presented and approved by Finance leadership
- Jira-based project governance live; Finance transformation now tracked with full sprint visibility
Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python
Alexander Bromberg
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Marco Lindner
Last position:
Senior IT Consultant | Cloud Data Engineer | Infrastructure Architect at Hannover Rück SE
Built an enterprise data lakehouse platform on Azure Databricks
Developed production data pipelines and governance structures
Implemented private cloud infrastructures using Terraform
Introduced modern CI/CD standards in Azure DevOps
Implemented secure IAM and governance concepts
Developed scalable PySpark and Delta Lake frameworks
Supported self-service analytics and data product approaches
Provided architecture and platform consulting for enterprise data initiatives
Built a central DataHub architecture for insurance data
Integrated multiple subsystems into a lakehouse platform
Introduced data governance and data lineage
Supported modern analytics and reporting standards
Optimized data delivery for business and analytics teams
Nima Nooshi
Last position:
Co founding LLM Engineer at LLM Ventures
- Co-founded an AI venture focused on building production-grade LLM applications and agentic systems
- Designed and implemented multi-agent AI workflows for financial and trading applications
- Developed LLM-powered copilot architectures for portfolio analysis, trade management, and personalized user coaching
- Built on-device and edge-deployed inference applications, optimizing models for low latency, privacy, and resource-constrained environments
- Led system architecture decisions across model selection, orchestration, state management, and deployment
Leonard Hußke
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Ehsan Meisami
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Vladislav Lasmann
Last position:
Freelance Data Engineer / Architect at Deutsche Bank
Designed and implemented a scalable data lake on Google Cloud Platform (GCP) for the Anti-Financial Crime (AFC) division, supporting Anti-Money-Laundering and Counter-Terrorism-Financing initiatives
Built robust data pipelines for ingesting and processing over 30 million daily transactions from retail and corporate banking, applying dimensional modeling to enable advanced analytics and regulatory reporting
Ensured resilience by implementing change data capture, late-data handling, and schema evolution across evolving source systems
Led a small engineering team and collaborated with international stakeholders in Germany, Singapore, Sri Lanka, Hong Kong, Taiwan, and Thailand to ensure compliance, data quality, and performance
Google Cloud Platform (GCP)
Apache Spark (Dataproc & Cloudera Data Platform - Python PySpark)
Apache Airflow (Cloud Composer - Python API)
Google Cloud Storage
BigQuery
GitHub Actions
Terraform
Google Kubernetes Engine (GKE)
Guino Ndjenndja
Last position:
Senior Data Engineer at Infomotion
- Built a data analytics platform for Karl Storz
- Developed all ETL processes in a generic way
- Prepared and supplied data in Databricks Delta tables for use in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Anton Rösler
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Discover over 15,000 top freelancers
Statistics of experts using Unity Catalog
Aggregated from the professional profiles of matched freelancers.
Experience
11 years
Position duration
1.6 years
Positions per freelancer
7
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
44%
Doctorate
11%
Certifications per freelancer
5
Most common languages
German, English, Persian
Speak two or more languages
100%
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 Germany 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 Germany using Unity Catalog
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
Unified governance for lakehouse architectures
Unity Catalog serves as the central governance solution for the Databricks Lakehouse Platform. It provides a unified namespace to secure and govern structured data tables, semi-structured files, machine learning models, and dashboards. Freelance specialists deploy this technology to establish a single source of truth for access control across multiple cloud environments.
Crucial governance capabilities
- Centralized access control for tables, views, and volumes
- Automated data lineage tracking across workloads
- Row-level and column-level security for sensitive data masking
- Secure data sharing across organizations via Delta Sharing
- Integration with external enterprise identity providers
Meeting strict regulatory standards in Germany
German enterprises in highly regulated sectors like automotive, finance, and healthcare rely on precise data governance to meet GDPR and Federal Data Protection Act requirements. Experts configure fine-grained access policies to ensure that personally identifiable information is strictly protected. This allows local teams to collaborate on analytics while maintaining strict sovereign data boundaries.
Integrating the data engineering ecosystem
A successful deployment requires integration with cloud platforms like Microsoft Azure and Amazon Web Services. Specialists work closely with Apache Spark, Delta Lake format, and various business intelligence tools like Power BI or Tableau. They configure metastores, manage storage credentials, and set up external locations to ensure seamless data flows without compromising security boundaries.
Key triggers for professional implementation
- Migrating legacy Hive metastores to a modern three-tier namespace
- Auditing data lineage for complex regulatory reporting requirements
- Resolving access control discrepancies across multiple Databricks workspaces
- Establishing secure data sharing agreements with external business partners
- Setting up attribute-based access control for dynamic data masking
Attributes of leading specialists
Experienced professionals possess a deep understanding of data security principles, cloud IAM configurations, and Databricks architecture. They hold relevant certifications and have practical experience in designing catalog structures that scale with organization growth. Their expertise ensures that governance policies do not become a bottleneck for data scientists and analysts.
Frequently asked questions
Curious about Unity Catalog? Here are the answers that come up again and again.
Companies use Unity Catalog to centralize access control, auditing, lineage, and data discovery across Databricks workspaces. It allows data teams to manage permissions on tables, files, and machine learning models from a single interface. This ensures robust security and compliance across the entire lakehouse environment.
Implementing Unity Catalog enables German organizations to comply with GDPR by enforcing row-level security and column-level masking on sensitive customer data. It provides automated end-to-end data lineage, making it straightforward to audit who accessed which data assets and when. This level of traceability is essential for demonstrating compliance to German regulatory authorities.
Unlike a traditional Hive metastore, Unity Catalog introduces a three-tier namespace consisting of catalogs, schemas, and tables or views. It goes beyond simple metadata storage by offering centralized governance, lineage tracking, and row-level access control. This modern framework eliminates the need to manage security separately across multiple individual workspaces.
A qualified Unity Catalog specialist typically brings strong expertise in Databricks administration, Apache Spark, and SQL. They should be fluent in cloud security models, particularly Azure IAM or AWS IAM, depending on your cloud infrastructure. Experience with terraform for infrastructure as code is also highly valuable for automating metastore configurations.
Yes, configuring Unity Catalog is highly suited for remote execution because most infrastructure tasks are performed via cloud consoles, APIs, or infrastructure as code. Many specialists in Germany work entirely remote, although initial design workshops may benefit from occasional on-site alignment. Professional freelancers use secure VPNs and enterprise identity management to access your development environments safely.
With Unity Catalog, administrators can define dynamic security policies using standard SQL functions. This allows for column masking to hide sensitive data from unauthorized users, and row-level filtering to restrict access based on geographic regions or business units. These rules are enforced dynamically at query execution time.
While the technical interfaces and documentation for Unity Catalog are entirely in English, speaking fluent German is highly advantageous for aligning with local compliance officers and business stakeholders. Many large German enterprises prefer bilingual experts who can translate complex regulatory constraints into technical data security policies.
A standard migration to Unity Catalog depends heavily on the existing metastore complexity and the number of active workspaces. A basic setup can be achieved quickly, while a full enterprise-wide governance rollout with custom lineage and third-party integrations usually requires ongoing expert support over several months to ensure a smooth transition without interrupting daily analytics operations.
The average hourly rate of freelancers in Germany who have used Unity Catalog in their recent projects is 96 €, which corresponds to a daily rate of about 772 € based on an 8-hour working day.
Of the freelancers in Germany who have used Unity Catalog in their recent projects, 100% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Germany who have used Unity Catalog in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Unity Catalog in their recent projects are German (100%), English (100%), and Persian (22%).
The most common industries among freelancers in Germany who have used Unity Catalog in their recent projects are Information Technology (78%), Banking and Finance (56%), and Manufacturing (44%).
The most common business areas among freelancers in Germany who have used Unity Catalog in their recent projects are Information Technology (100%), Business Intelligence (89%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used Unity Catalog
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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
