Kai P.-Microsoft Azure Synapse and Power BI Developer
Check rate
Experience
Microsoft Azure Synapse and Power BI Developer
Consulting company / International insurance brokerage group
- Set up 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 model, reports), Azure DevOps (Boards, Repos)
- Development languages: DAX, M, SQL
Microsoft Fabric Consultant/Developer
Concilé GmbH
- Advised and trained management in Microsoft Fabric following the migration from TARGIT to Fabric
- Optimized and further developed the Fabric architecture and sales reporting
- Trained employees in the use and development of Fabric, with a focus on Power BI
- Technology stack: Microsoft Fabric (Dataflow, Datamart, Data warehouse, Semantic model, Power BI)
- Development languages: DAX, M, SQL
Consultant, Developer
Eppendorf SE
- Supported the architecture, development, optimization, and operation of Azure subscriptions, Power BI Tenant, and Databricks Account
- Created and further developed global reporting solutions using Microsoft technology
- Documented processes and conducted training sessions
- Technology stack: Azure (Managed Instance, SQL Server Database, Data Factory, Entra ID, App Registrations, Functions, Databricks, Virtual Machines, Storage Account/blob storage, Key Vault), Azure DevOps (Boards, Repos, Pipelines), Microsoft Fabric, Power BI, Power Automate, Atlassian JIRA, Atlassian Confluence, Dynamics CRM, Data Lake/Lakehouse, IAAC (ARM, Terraform)
- Development languages: DAX, M, SQL, PowerShell, Python, Scala
Data Analyst, Power BI Developer
DB InfraGo
- Set up a data quality framework in Fabric/Power BI and created business department and management reporting based on it
- As part of a comprehensive data quality assessment, defined the desired data quality for a clearly defined subject area
- Developed and automated three-digit numbers of data quality rules for business-critical attributes in close cooperation with the Data Office team
- Visualized deviations between target and actual data quality using a Power BI dashboard
- Ensured a sound and easy-to-understand presentation of data quality with clear identification of deviations
- Technology stack: Microsoft Fabric / Power BI (Reports, Semantic Models, Dataflows, Templates), Oracle
- Development languages: DAX, M / Power Query, SQL
System Owner, Sub-Project Manager
Eppendorf SE
- Designed and operated an Azure Data Platform as a central data enrichment and exchange platform for BI data
- Implemented ETL processes in project environments according to a cloud blueprint with a Hub & Spoke architecture
- Defined the infrastructure with Terraform and provisioned it via Azure DevOps Pipeline
- Built a data lake architecture with zones: Ingestion, Raw (Bronze), Qualified (Silver), Curated (Gold), and Archive
- Worked agile according to SCRUM, with documentation in Markdown and Confluence and project management in Jira
- Technology stack: Azure (Databricks, Data Factory, Data Lake Storage Gen2, Key Vault, Virtual Network, DevOps, ARM, Terraform), Python, SQL, JSON, HCL
Power BI & Analytics System Analyst, System Owner, Sub-Project Manager
Eppendorf SE
- Architecture, application design, implementation and operation of BI applications with a focus on Microsoft Power BI and Azure Services
- System Owner for Microsoft Fabric Tenant, Databricks Account and global BI products
- Development and introduction of a global Power BI strategy and governance
- Sub-project management as part of the IT transformation
- Key User for Jira & Confluence and agile working according to SCRUM
- Technology Stack: Azure (Managed Instance, SQL Server Database/Analysis Services, Data Factory, Synapse, Entra ID, App Registrations, Functions, Databricks, Virtual Machines, Storage Account/blob storage, Key Vault), Azure DevOps (Boards, Repos, Pipelines), Microsoft Fabric, Power BI, Power Automate, Atlassian JIRA, Confluence, Dynamics CRM, Data Lake/Lakehouse, IAAC (ARM, Terraform), DAX, M, SQL, PowerShell, Python, Scala
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Biotechnology, Transportation, and Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, and Project Management.
Languages
Statistics
Experience
Expertise
Frequently asked questions
Have questions? Find more information here.
Kai is based in Hamburg, Germany.
Kai speaks the following languages: German (Native), English (Advanced), Thai (Elementary).
Kai has at least 4 years of experience. During this time, Kai has worked in at least 6 different roles and for 4 different companies. The average length of individual experience is 1 year and 8 months. Note that Kai may not have shared all experience and actually has more experience.
Based on recent experience, Kai would be well-suited for roles such as: Microsoft Azure Synapse and Power BI Developer, Microsoft Fabric Consultant/Developer, Consultant, Developer.
Kai's most recent position is Microsoft Azure Synapse and Power BI Developer at Consulting company / International insurance brokerage group.
In recent years, Kai has worked for Consulting company / International insurance brokerage group, Concilé GmbH, Eppendorf SE, and DB InfraGo.
Kai is most experienced in industries like Biotechnology, Transportation, and Information Technology. Kai also has some experience in Insurance.
Kai is most experienced in business areas like Business Intelligence, Information Technology, and Project Management.
The availability of Kai needs to be confirmed.
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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 26 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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