Microsoft Fabric Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Microsoft Fabric
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company’s BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across departments
- Forecasting & Planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enabling rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing and consistent modeling using Star Schema, DAX and Power Query
- Incident & Anomaly Analysis: Identification, investigation and explanation of data anomalies, including root-cause analysis and specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email delivery of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Nisanthan S.
Last position:
Business Intelligence Consultant (freelance) at NBIC – Nisanthan BI Consulting
Advising companies on building, migrating and optimising BI and reporting landscapes (Power BI, SQL, Python, ETL)
5 client engagements in real estate and finance since 05/2025: taking over and stabilising existing reporting, automating recurring standard and management reports, building cash-flow models
Proposal and feasibility assessments for BI and reporting projects
Using AI-assisted development (Claude Code) to accelerate automation, tooling and web/app development
Custom ERP system
Problem: A client's core processes ran on scattered, siloed Excel files with no central data storage – error-prone, hard to scale and impossible to analyse end-to-end.
Approach: Captured the business processes and requirements, modelled the data and developed iteratively together with the business team.
Implementation: Built a tailored, web-based ERP system with a central database, role-based modules and automated reporting – delivered using AI-assisted development in Claude Code.
Timesheet app
Starting point: Time tracking based on an overgrown, macro-heavy Excel template – maintenance-intensive, single-user and error-prone.
Implementation: Migrated all functionality and VBA macros into a standalone web app with central data storage, multi-user support and automated reporting.
Cash-flow modelling
Starting point: The existing cash-flow model covered standing investments only; project developments were missing from steering.
Implementation: Built and extended the CF model to include project-development cash flows.
Optimisation: Reviewed and optimised existing CF models and expanded the KPI outputs for reporting and steering.
Mahboobeh S.
Last position:
Senior Analytics Engineer at Jadoosoft
Engaged as an independent BI consultant for a FinTech SaaS platform, building and maintaining the end-to-end Microsoft Azure and Fabric analytics stack behind a multi-tenant accounting product used by business owners to track their own financial performance.
- Partnered with finance stakeholders to translate complex accounting workflows into real-time BI dashboards (P&L, Cash Flow, Balance Sheet), helping 2000+ business owners track cash flow and overall financial health effortlessly.
- Developed 10+ interactive dashboards, giving each business owner personalized, real-time visibility into their own sales performance, accounts receivable aging, and operational costs.
- Enforced strict enterprise data governance by implementing dynamic Row-Level Security (RLS) via DAX to isolate each business owner's data within the shared multi-tenant model.
- Maintained and extended an Azure ELT pipeline (Azure Data Factory, Azure SQL Database, Azure Synapse) that automated data ingestion and transformation.
- Contributed to a team-wide platform migration from Azure to Microsoft Fabric to optimize capacity licensing costs.
- Designed and implemented a Microsoft Fabric ELT pipeline (Lakehouse, Pipelines, PySpark) that automated data ingestion and transformation, replacing the prior Azure pipeline.
- Modeled cleansed data into a Star Schema within the data warehouse using T-SQL, powering the Power BI Semantic Model.
- Leveraged AI tools, including Copilot and Claude, as development partners across the entire ELT pipeline, from data ingestion to KPI reporting and visualization.
- Supported agile delivery processes, using Jira to track development tasks and Confluence to maintain technical and project documentation.
Tobias L.
Last position:
Data Engineer at unitb consulting GmbH
Responsibilities: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.
Activities:
- Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
- Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
- Developed automated data pipelines with Python, dbt, and GCP services for various data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated testing and deployment pipelines in GitLab and Bitbucket
Achievements:
- Doubled production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
- Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, reducing configuration errors to 0
- Delivered a complete end-to-end data platform at ~10 €/month in infrastructure costs
- Migrated 7 database tables with 0 downstream issues
- Removed 100 % of exposed credentials, eliminating dependency on external vendors
- Delivered 3-team integration in 1 sprint
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Germo G.
Last position:
BI Developer at Rhenus Logistics
- Business intelligence development in the logistics sector.
- Migrating existing reporting and analysis solutions from Cognos to Microsoft BI.
- Using Microsoft SQL Server, SSAS, Power BI, and other Microsoft BI platform components.
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freelance Software & Data/AI Engineer
- Lecturer for the GenAI Track at Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product imports with intelligent column and category classification (4-layer hierarchy), including human-in-the-loop validation
Discover over 15,000 top freelancers
Statistics of experts using Microsoft Fabric
Aggregated from the professional profiles of matched freelancers.
Experience
11 years (Germany: 15 years)
Position duration
1.5 years (Germany: 1.9 years)
Positions per freelancer
13 (Germany: 12)
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Banking and Finance, Information Technology, Education
Certification focus areas
Business Intelligence, Information Technology, Human Resources
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
83% (Germany: 71%)
Doctorate
17% (Germany: 10%)
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Microsoft Fabric
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 5 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Microsoft Fabric experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (86%)
- Information Technology (86%)
- Education (43%)
- Manufacturing (43%)
- Automotive (29%)
- Healthcare (29%)
- Insurance (29%)
- Transportation (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Unified data platform
Microsoft Fabric is Microsoft’s end-to-end analytics platform. It brings data integration, engineering, warehousing, data science, real-time intelligence and business intelligence into one SaaS environment. Its OneLake foundation provides a shared data layer for teams working across an organisation.
Core workloads
Fabric professionals design solutions across several connected workloads:
- Build lakehouses and warehouses for governed analytics
- Create data pipelines and notebooks for transformation
- Deliver semantic models and reports with Power BI
- Process streaming data with Real-Time Intelligence
- Apply machine learning and exploratory analysis with Data Science
Ecosystem and tooling
Strong specialists work with OneLake, Lakehouse, Warehouse, Data Factory, Power BI and Microsoft Purview. They often use Spark, SQL, Python, notebooks, Dataflows Gen2 and event-driven services alongside Fabric. Familiarity with Azure storage, Azure Data Lake and Microsoft Entra ID supports secure, maintainable implementations.
When companies hire specialists
Companies bring in freelance Fabric expertise when existing data estates need consolidation, faster delivery or clearer ownership. Typical work includes migrating from Azure Synapse Analytics, SQL Server or separate Power BI solutions, setting up medallion architectures, and connecting SaaS, ERP and operational sources. Berlin teams may benefit from local collaboration while keeping delivery remote where the project allows it.
Delivery and governance
A capable professional starts with source assessment, data contracts and a practical target architecture. They configure workspaces, deployment pipelines, access controls, sensitivity labels and monitoring before releasing production content. They also establish naming, testing and documentation standards so analysts can work safely without creating duplicate logic.
What strong professionals bring
Look for specialists who can connect platform design with business outcomes. They should explain trade-offs between lakehouses, warehouses and semantic models, handle incremental loading and performance tuning, and troubleshoot refresh or capacity issues. Clear communication in English, and German where required by the Berlin team, helps turn complex data work into decisions stakeholders can trust.
Frequently asked questions
Need clarity? These are the questions we hear most often about Microsoft Fabric.
Microsoft Fabric is used to collect, transform, store and analyse data in one integrated environment. Companies use it for enterprise reporting, lakehouse and warehouse workloads, real-time dashboards, data science and governed self-service analytics.
Microsoft Fabric provides a SaaS analytics experience with shared OneLake storage and tightly connected workloads. Azure Synapse Analytics offers more separate service choices and can suit teams that need granular Azure infrastructure control, while Fabric often reduces platform assembly and administration.
A strong Microsoft Fabric specialist usually combines SQL, Python or Spark with Power BI semantic modelling and DAX. Azure Data Factory, Azure Data Lake, Microsoft Purview, identity management and CI/CD practices are also valuable for production delivery.
The right level depends on scope, data quality and the existing Microsoft estate. A focused report or pipeline may need targeted Fabric expertise, while a platform migration calls for someone who has handled architecture, security, performance, release management and stakeholder adoption.
Microsoft Fabric can extend an existing Power BI environment rather than requiring an immediate replacement. A specialist can assess workspaces, semantic models, gateways, refresh processes and licensing constraints, then define a staged path toward OneLake and Fabric workloads.
Yes, Microsoft Fabric projects are commonly delivered through cloud workspaces, version control, documentation and regular review sessions. For Berlin-based teams, remote work can be combined with on-site workshops when source discovery, governance decisions or stakeholder training benefits from direct collaboration.
Ask the professional to explain a complete delivery from source ingestion to governed report, including failure handling and deployment. Strong Microsoft Fabric specialists can discuss OneLake design, workspace security, semantic modelling, monitoring and trade-offs in clear business terms.
A Microsoft Fabric engagement can involve several teams, workloads and permission boundaries, so requirements must be clarified early. Freelancers should confirm tenant access, data residency expectations, source connectivity, capacity planning, release practices and the language needed for collaboration.
The average hourly rate of freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects is 87 €, which corresponds to a daily rate of about 699 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects are Banking and Finance (86%), Information Technology (86%), and Education (43%).
The most common business areas among freelancers in Berlin, Germany who have used Microsoft Fabric in their recent projects are Business Intelligence (100%), Information Technology (100%), and Project Management (86%).
Main locations of FRATCH Experts, who have recently used Microsoft Fabric
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
