Azure SQL Database Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Azure SQL Database
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Any-Arlene N.
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 B.
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 K.
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 C.
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 S.
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 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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure SQL Database 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 (100%)
- Education (67%)
- Healthcare (67%)
- Insurance (67%)
- Banking and Finance (50%)
- Manufacturing (50%)
- Professional Services (50%)
- Telecommunication (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Azure SQL basics
Azure SQL Database is Microsoft’s managed relational database service for cloud applications. It is used for transactional systems, reporting back ends, and data-driven products that need SQL Server compatibility without operating the full database stack.
What experts deliver
Strong specialists shape the database for reliability and speed, not just setup.
- Schema design and T-SQL work
- Query tuning and indexing
- Migration from SQL Server or other databases
- Backup, restore, and high availability planning
Ecosystem and tooling
Work around Azure SQL Database often includes Azure Portal, SQL Server Management Studio, Azure Data Studio, and deployment scripts. Professionals also use monitoring, alerting, and IaC tools to keep environments repeatable across dev, test, and production.
When to bring in help
Companies usually call in freelance expertise during migrations, slow query investigations, security reviews, or new application launches. In Munich, this is common for teams that need clear communication with product and operations staff, whether work happens on-site or remotely.
What good specialists know
A strong professional understands Azure SQL Database limits, service tiers, connection handling, and recovery behavior. They write clean T-SQL, can read execution plans, and know how to balance performance with maintainability.
Typical project fit
Azure SQL Database fits SaaS back ends, internal business apps, integration layers, and analytics staging for Microsoft-based stacks. Good work leaves behind stable schemas, sensible indexes, deployment notes, and monitoring that helps the team keep the system healthy.
Frequently asked questions
Curious about Azure SQL Database? Here are the answers that come up again and again.
Azure SQL Database is used for cloud-hosted relational data in business apps, customer portals, workflow systems, and services that need SQL Server-style querying with less infrastructure work. It is a strong fit when the team wants managed availability, backups, and patching while keeping T-SQL and relational design.
Azure SQL Database removes a lot of server management work, while SQL Server on a VM gives more operating-system control. The managed service is usually better when you want simpler operations, built-in resilience, and a smaller admin burden. A freelancer should help you decide based on compatibility needs, extensions, and deployment constraints.
Bring in a Azure SQL Database specialist when migrations are risky, queries are slow, or the schema needs redesign before launch. It also helps when you need to review security settings, connection patterns, or failover behavior for a production system. Early input often prevents hard-to-fix design issues later.
A strong Azure SQL Database professional usually knows T-SQL, indexing, execution plans, and basic data modeling. Good cloud experience matters too, especially with Azure monitoring, deployment automation, identity and access settings, and migration tools. For larger systems, knowledge of application performance and DevOps practices helps a lot.
Simple schema changes or a small migration may need only focused Azure SQL Database expertise. Complex estates with business-critical uptime, large data volumes, or many integrations need someone who has handled design, performance, and release coordination before. The right depth depends on risk, not just scope.
Yes, most Azure SQL Database work can be done remotely because the main tasks are design, review, tuning, and deployment support. On-site time in Munich only becomes important when stakeholders want close workshop sessions, sensitive access discussions, or hands-on coordination with local teams. Many projects use a mix of both.
Look for clear explanations of trade-offs, not just tool familiarity. A strong Azure SQL Database expert can describe why a query is slow, how an index changes the plan, and what the rollback path is before changes go live. They should also leave documentation and monitoring steps that your team can actually use.
Azure SQL Database is the common product name for the single-database and pooled service in Microsoft Azure. Azure SQL Managed Instance is a nearby option when you need more SQL Server compatibility and instance-level features. SQL Database is often used as a shorter search term, so a good specialist should be comfortable with all three terms and explain which service fits your case.
The average hourly rate of freelancers in Munich, Germany who have used Azure SQL Database in their recent projects is 106 €, which corresponds to a daily rate of about 846 € 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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FRATCH CEO
