Microsoft Fabric Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Microsoft Fabric
Deepa K.
Last position:
Data Analyst – BI Lead Engineer at Novartis
- Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
- Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
- Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
- Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
- Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
- Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
- Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.
Ajay Kumar D.
Last position:
Senior BI and Analytics Engineer at Novartis
- Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
- Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
- Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
- Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
- Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
- Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
- Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
- Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
- Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Emanuel F.
Last position:
Interim Architect & Data Taskforce at Freelancer / Project Assignments
- Data Engineering: Design and implementation of scalable data pipelines
- Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
- BO Universe migrations to MS Fabric / Semantic Models / Power BI
- Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL
Tapasvi M.
Last position:
Data Analyst — Working Student at DENSO Automotive Deutschland GmbH
- Built and maintained Power BI dashboards (DAX, Power Query, data modeling) tracking KPIs across 15+ global manufacturing sites — primary reporting tool for EU leadership decision-making.
- Developed a multi-screen Power Apps application (configurator-style tool) with SharePoint-based workflow integration for the sales team — designed jointly with business stakeholders and IT.
- Built and maintained automated Power Automate workflows connecting to SQL databases; independently identified and deployed an LLM-driven automation use case that eliminated 90% of manual reporting effort — self-pitched to leadership and taken end-to-end into production.
- Built a Python-based data pipeline (SQL) extracting, modeling, and validating data across 10+ EU plants — establishing reliable data models and KPIs for cross-site reporting.
Azadeh T.
Last position:
AI Engineering Fellow at Turing College
- Completed an intensive AI Engineering Program focused on LLM evaluation, retrieval, agent orchestration, and multimodal workflows.
- Designed retrieval pipelines with document ingestion, semantic search, and citation-aware outputs using LangChain and ChromaDB.
- Built LangGraph-based agent workflows with state handling, clarification loops, and human-in-the-loop approval steps.
- Applied prompt engineering and evaluation patterns, including scoring logic and guardrails, to improve output quality and reliability.
- Worked extensively with Python, FastAPI, OpenAI APIs, LangChain, LangGraph, and ChromaDB in end-to-end implementations.
Adriano R.
Last position:
Sales Manager at All For One Data & Analytics GmbH
- Sales of data, analytics & software services (SAP, Microsoft Fabric)
- Optimization of sales processes & resource allocation
- Set up of AI-driven lead generation, e.g. Apollo & LinkedIn Sales Navigator
- Funnel setup & CRM implementation (Microsoft Dynamics)
Gurpreet D.
Last position:
Anonymous – German building materials manufacturer
- Creation of the profit center report and statistical metrics report
- Gathering and analysis of requirements regarding the forecast for revenue and costs
- Implementation of various time series analyses and optimization of forecasts
- SAP process knowledge, SQL, Python
- Python with various libraries for time series analysis and Machine Learning
Daniel A.
Last position:
Business Analyst – Freelance at A1 Telekom Austria
- Business analysis and process optimization, including specifying business requirements and technical design
- Interface analysis (REST API, SOAP) and process optimization
- Process optimization with RPA, Power Automate, Microsoft Fabric, Power Automate Cloud, and Power BI
- Development of Power Apps for a point-of-sale platform using Power Automate and MS Fabric/Power BI to replace various tools
- Automation and replacement of manual maintenance of Excel spreadsheets and manual processes
Discover over 15,000 top freelancers
Statistics of experts using Microsoft Fabric
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.4 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Manufacturing, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
75%
Certifications per freelancer
5
Most common languages
German, English, Italian
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich 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 19 Sep 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.
- Information Technology (63%)
- Manufacturing (63%)
- Professional Services (63%)
- Automotive (50%)
- Telecommunication (50%)
- Energy (38%)
- Healthcare (38%)
- Pharmaceutical (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Fabric basics
Microsoft Fabric brings data integration, storage, engineering, and analytics into one environment. Teams use it to move data, shape it, and expose it for reporting and operational use. It is often discussed as a unified SaaS data platform built around OneLake.
Common workloads
- Ingest data from business systems and files
- Transform and model data for reporting
- Build Lakehouse and Warehouse solutions
- Deliver Power BI semantic models and dashboards
- Connect batch pipelines with near-real-time needs
Core skills
Strong Microsoft Fabric professionals understand data pipelines, notebooks, SQL endpoints, semantic models, and workspace design. They know when to use Data Factory-style orchestration, Spark-based transformation, or warehouse-centric patterns. Good work also depends on clear naming, security, and clean data ownership.
When experts help
Companies bring in freelance specialists when a Fabric rollout needs speed, structure, or a second opinion. Common cases include migration from older Azure or Power BI setups, messy data estates, and new analytics products that must be stable from day one. In Munich, this often suits teams that want onsite workshops for planning and remote delivery for build work.
Ecosystem fit
Microsoft Fabric sits close to Power BI, OneLake, Azure data services, and the wider Microsoft stack. That makes it a practical choice for organizations already using Microsoft 365, Azure, or SQL Server. Experts who know the surrounding ecosystem can avoid duplicate storage, broken refresh paths, and poorly planned permissions.
What strong work looks like
Good Microsoft Fabric specialists document the architecture, separate raw and curated data, and keep pipelines easy to operate. They test refresh logic, monitor failures, and leave models that other professionals can maintain. The best result is not just working reports, but a data setup that stays understandable as it grows.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Microsoft Fabric.
Microsoft Fabric is used to bring ingestion, transformation, storage, and analytics into one place. Companies rely on it for data pipelines, Lakehouse and Warehouse work, and Power BI reporting on top of shared data. It fits projects that need a single structure instead of many separate tools.
Microsoft Fabric overlaps with both, but it is broader than Power BI and more unified than many older data stacks. Power BI focuses on reporting, while Fabric also covers data movement, notebooks, and storage patterns in one environment. Compared with Synapse, it is usually chosen when teams want a more integrated experience around OneLake and shared workspaces.
A strong Microsoft Fabric specialist usually also knows SQL, data modeling, and at least one transformation stack such as Spark or notebook-based workflows. Power BI semantic modeling, security design, and workspace governance are also important. In many projects, knowledge of Azure and source-system integration matters just as much.
A small reporting build may only need one focused Microsoft Fabric professional, while a wider platform rollout needs someone who can shape architecture as well as delivery. The right depth depends on whether the work is a proof of concept, a migration, or a live production setup. Projects with multiple data sources and business teams usually need broader experience.
Yes, Microsoft Fabric work is often well suited to remote delivery because most tasks are configuration, modeling, and pipeline design. For Munich-based teams, a hybrid setup can help when workshops, stakeholder reviews, or access discussions are needed on site. Clear documentation and workspace discipline make remote work much easier.
Look for evidence that the Microsoft Fabric expert has built complete data flows, not just isolated reports. Ask how they handle permissions, refresh failures, naming standards, and model ownership. Strong specialists can explain trade-offs clearly and show how they keep the setup maintainable.
Usually yes, especially when the company already uses Power BI, Azure, or SQL Server. Microsoft Fabric can reduce fragmentation because data preparation, storage, and analytics live in one environment. That said, a careful design is still needed so the stack does not become hard to govern.
A good Microsoft Fabric engagement should leave behind working pipelines, clean data models, and reporting layers that business users can trust. You should also expect clear documentation, workspace structure, and guidance on how future professionals can extend the solution. If the project is larger, a roadmap for the next phase is valuable too.
The average hourly rate of freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects is 101 €, which corresponds to a daily rate of about 806 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects, 100% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects are German (100%), English (100%), and Italian (25%).
The most common industries among freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects are Information Technology (63%), Manufacturing (63%), and Professional Services (63%).
The most common business areas among freelancers in Munich, Germany who have used Microsoft Fabric in their recent projects are Information Technology (100%), Business Intelligence (88%), and Operations (63%).
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.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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