Azure SQL Database Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Azure SQL Database
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Any-Arlene Niyubahwe
Last position:
Co-Founder · Data Engineering & Backend at zirikana (Kirundi Bible Web App) – Civic Technology
- Built a Python pipeline that converts lectionary web content into structured daily JSON, applying liturgical-calendar rules for accurate weekday and Sunday coverage.
- Shipped a read-only FastAPI REST API with shared Pydantic models and delivered a Kirundi-first web client for browser and mobile use.
- Owned the data layer and backend architecture, collaborating closely on system architecture and interfaces while automating refreshes with GitHub Actions and validating the ETL with pytest.
- Impact: Created a reliable, API-driven source of truth for daily Bible readings in Kirundi, enabling consistent access to previously unstructured content.
Kerstin Burgen
Last position:
Reporting and analytics for HR at Apobank
- Designing and implementing an interactive evaluation system for top executives to rate core competencies such as goal orientation, team culture, and strategic alignment.
- Integrating control mechanisms to enforce feedback limits and store evaluations in a central system to ensure data integrity.
- Optimizing data processing for personnel development by automating the merging of various information sources for form letters.
- Implementing technical data preparation and analysis for the annual compensation comparison in the financial sector.
- Developing automated processes for data preparation in Excel using Power Query, ensuring data integrity and anonymization according to data protection requirements.
- Automating personnel cost analysis by developing a solution to process data from the Paisy system into an SAP-compatible Excel file.
- Creating test cases, user documentation, and test plans for all developed systems.
- Technologies: Power Query, MS Office 2016 (Word, Excel, PowerPoint), Paisy, SAP, VBA.
Maziyar Khorrami
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Mohamed Saleh
Last position:
Machine Learning Engineer (Part Time) at E.ON Digital Technology
- Designed and implemented an advanced, agentic RAG pipeline using LangChain and LangGraph for structured data extraction from PDFs, utilizing tools, state management, and OpenAI LLMs (GPT-4) to improve accuracy and handle complex document structures.
- Developed a Google AI agent for extraction of structured information from PDF documents and deployed the agent on Vertex AI.
- Architected data pipelines using Azure Data Factory and Databricks to ingest data from Azure Blob Storage, process it with PySpark, and load it into Azure SQL Database via Linked Services.
- Containerized AI agents and services using Docker for consistent local development and deployment.
- Utilized PySpark and Dask for database querying in coordination with Azure Blob Storage and Document Storage.
- Created a ReAct agent that extracts structured data from PDF documents using tools and integrating Azure Document Intelligence.
- Contributed to the CPO invoices validation check project using Databricks to find existing CDRs and calculate total valid costs.
- Developed a conversational AI agent (chatbot) with a FastAPI backend, integrating RAG for precise tariff extraction and deployed the service using Azure Container Apps.
- Tools used: Azure, Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, Google ADK, Google Cloud, Vertex AI, Gemini, Databricks, LangChain, LlamaIndex Ollama, Docker, PySpark, Azure SQL, Azure Data Factory, Azure AI Agent, Microsoft SQL Server
Discover over 15,000 top freelancers
Statistics of experts using Azure SQL Database
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.8 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
20%
Certifications per freelancer
3
Most common languages
German, English, French
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 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 Azure SQL Database
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
What it is
Azure SQL Database is Microsoft’s managed relational database service for modern applications. It is used for transactional systems, reporting layers, and APIs that need SQL compatibility without server administration. Many teams also know it as Azure SQL or, in older contexts, SQL Azure.
Where it fits
It works well when a company wants predictable operations, built-in high availability, and tight integration with the Microsoft stack. Common use cases include:
- SaaS back ends
- Line-of-business systems
- Cloud migration targets
- Reporting and analytics stores
- Multi-tenant application data
What specialists deliver
Strong professionals set up databases, refine schema design, and keep queries efficient under load. They also manage backups, security, failover, and release support for production changes. For teams in Munich, this often means working with hybrid environments and coordinating with English-speaking product teams.
Ecosystem skills
Azure SQL Database work often sits next to Azure Data Factory, Power BI, Entity Framework, T-SQL, and SQL Server tooling. Specialists need to understand indexes, query plans, permissions, and monitoring in Azure Monitor and related services. They should also know when to choose a managed database instead of a self-managed SQL Server setup.
When to bring in help
Companies usually bring in freelance expertise during migrations, performance problems, schema redesign, or security reviews. A specialist is also useful when an app needs new environments, better tenant isolation, or a clean handoff from legacy SQL Server or SQL Azure systems.
What good work looks like
Good professionals are precise, calm under pressure, and disciplined about testing. They document changes, protect data, and explain trade-offs clearly. They do not just fix one query; they leave the database easier to run, safer to change, and ready for the next release.
Frequently asked questions
Curious about Azure SQL Database? Here are the answers that come up again and again.
Azure SQL Database is used for business applications, APIs, reporting stores, and cloud migration projects that need a managed relational database. It gives teams SQL Server compatibility without having to manage the underlying servers. Companies choose it when they want less ops work and a service that fits into Microsoft Azure.
Azure SQL Database removes much of the server administration that comes with SQL Server on a VM. That makes it easier to patch, scale, and recover, but it also means some low-level control is not available. The right choice depends on whether the project values managed service behavior or full instance-level control.
A company should bring in Azure SQL Database expertise for migrations, slow queries, schema redesign, or security hardening. It is also a good idea when an application is moving from SQL Server or SQL Azure and the team wants a careful cutover. Freelancers help most when the work touches production data or release timing.
A strong Azure SQL Database professional usually knows T-SQL, indexing, backup strategy, and performance tuning. Many also work with Azure Monitor, Azure Data Factory, Power BI, and application frameworks that talk to SQL through ORM layers. Cloud networking and security basics matter as well.
The needed level depends on the task, but Azure SQL Database work usually benefits from someone who has handled real production systems. Simple schema changes need less depth than migration planning, failover design, or query tuning under load. If the database supports a critical app, choose a specialist who has seen similar risks before.
Yes. Azure SQL Database work is often done remotely because most tasks are delivered through Azure, code reviews, and secure access to test or production environments. For Munich-based teams, on-site time can still help during discovery, workshops, or release planning if local coordination is important.
Look for clear explanations, careful change management, and evidence of work on real systems. A good Azure SQL Database expert can talk about indexes, locking, backups, permissions, and recovery without hand-waving. Ask how they test migrations, verify performance, and protect data during release windows.
Azure SQL Database is the current name, while SQL Azure is the older name many searchers still use. In practice, people are usually talking about the same managed database service in Microsoft Azure. A specialist should understand both terms and the platform changes that came with the name update.
The average hourly rate of freelancers in Munich, Germany who have used Azure SQL Database in their recent projects is 104 €, which corresponds to a daily rate of about 832 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Azure SQL Database in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Azure SQL Database in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Munich, Germany who have used Azure SQL Database in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Munich, Germany who have used Azure SQL Database in their recent projects are Information Technology (100%), Education (67%), and Healthcare (67%).
The most common business areas among freelancers in Munich, Germany who have used Azure SQL Database in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (83%).
Main locations of FRATCH Experts, who have recently used Azure SQL Database
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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Philipp Thomaschewski
FRATCH CEO
