Azure SQL Database Experts in Berlin
matched in minutes by AIHire experts who design Azure SQL Database architectures, optimize T-SQL workloads, and connect secure data services with Azure applications. FRATCH finds the right vetted, available freelancer through fast, precise AI matching.
Meet FRATCH Experts in Berlin, who have recently used Azure SQL Database
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.
Artem K.
Last position:
Software Architect at VR Payments
- Worked on the development of cloud-based web platform for different financial solutions (Payment by invoice, EPI, Freenet)
- Made technical and architectural decisions, discussed with management team the direction of the platform
- Provided technical expertise, made software improvements
- Participated in meetings, reviewed tickets, wrote documentation
- Technologies used: C#, .NET, MS Azure Services, Azure SQL, CI/CD, Azure DevOps, Jira
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
Tarek S.
Last position:
Cloud Engineering at Freelancer
- Development, operation and support of BI platforms and microservice architectures
- Development of an open-source BI scheduling tool
Amit G.
Last position:
Authorized Officer - Software Engineer at UBS
- Built a fee proposal tool automating financial advisor fee calculations, reducing manual processing from hours to seconds.
- Developed Spring Boot microservices with REST APIs on Azure SQL, replacing mainframe procedures, improving latency by 60%.
- Migrated Tomcat applications from on-premises RHEL servers to Azure Kubernetes Service (AKS).
- Automated testing and deployment processes using CI/CD pipelines in GitLab, reducing deployment time by 90%.
- Streamlined recurring reporting workflows by automating report generation using Spring Batch.
Discover over 15,000 top freelancers
Statistics of experts using Azure SQL Database
Aggregated from the professional profiles of matched freelancers.
Experience
10 years (Germany: 16 years)
Position duration
2.2 years (Germany: 1.9 years)
Positions per freelancer
5 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Banking and Finance, Information Technology, Manufacturing
Certification focus areas
Information Technology, Business Intelligence
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
100% (Germany: 70%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 29 Oct 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 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 29 Oct 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.
- Banking and Finance (100%)
- Information Technology (83%)
- Manufacturing (33%)
- Fashion (17%)
- Food and Beverage (17%)
- Healthcare (17%)
- Media and Entertainment (17%)
- Pharmaceutical (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Cloud database foundation
Azure SQL Database is Microsoft’s fully managed relational database service in Azure. It supports transactional applications, APIs, reporting workloads and data-driven business systems without requiring a company to operate the underlying database servers. Teams use it for new cloud applications, migrations from SQL Server and elastic database estates.
Azure SQL ecosystem
Professionals work across the database service and its surrounding Microsoft stack:
- Configure logical servers, databases, elastic pools and service tiers
- Develop T-SQL schemas, stored procedures, views and queries
- Connect applications through Azure Functions, App Service and AKS
- Integrate data with Microsoft Fabric, Power BI, Data Factory and Synapse
They also use Azure Monitor, Query Performance Insight, Microsoft Entra authentication, Key Vault and infrastructure-as-code tools such as Bicep or Terraform.
Typical delivery work
Freelance specialists may plan a SQL Server migration, redesign a slow schema or establish a secure database baseline. Their deliverables can include data models, migration runbooks, indexing strategies, backup policies, access controls and monitoring dashboards. They also help teams prepare Azure SQL Database for continuous delivery and controlled schema changes.
When expertise matters
Companies often bring in external expertise when an application is moving from on-premises SQL Server, when queries become unreliable under changing demand or when compliance requirements call for stronger identity and data controls.
- Assess compatibility before migration
- Reduce blocking, expensive queries and poor indexing
- Plan high availability, recovery and business continuity
- Establish least-privilege access and audit trails
For Berlin teams, remote delivery is common, while workshops or handovers can also be arranged on site. Clear communication in English, and German where required, supports collaboration across product and infrastructure groups.
Strong professional profile
A strong specialist understands relational design, T-SQL execution plans, transactions and workload patterns rather than treating the service as a generic cloud database. They can explain trade-offs between Azure SQL Database, SQL Managed Instance, SQL Server and other relational services in terms of compatibility, operations, performance and cost. They also document decisions so internal teams can maintain the result.
Quality checks
Assess a professional by asking for examples of migrations, production incident work and measurable query or workload improvements without relying on confidential details. Good specialists begin with workload analysis, define acceptance criteria and validate changes with realistic data and repeatable tests. They review security, recovery, monitoring and deployment practices alongside database performance, then leave clear documentation and a practical handover.
Frequently asked questions
Everything clients usually want to know about Azure SQL Database, in one place.
Azure SQL Database is a managed relational database service for applications, APIs, reporting systems and business workloads hosted in Microsoft Azure. It handles core database operations such as patching, backups and availability while specialists focus on schema design, queries, security and integration.
Azure SQL Database is designed for cloud-native databases and managed application workloads. SQL Server offers broader infrastructure control, while SQL Managed Instance provides closer compatibility with many existing SQL Server features; the right choice depends on compatibility needs, migration effort, isolation and operational responsibility.
A capable Azure SQL Database professional often brings T-SQL, relational data modeling, query tuning and migration experience. Useful adjacent skills include Azure networking, Microsoft Entra, Key Vault, Azure Monitor, Power BI, Data Factory, Terraform or Bicep, and application integration with .NET or other service frameworks.
A straightforward schema or query assignment may suit a specialist familiar with the workload and its delivery process. A migration, regulated system or performance-sensitive platform needs a Azure SQL Database professional who has handled production dependencies, recovery planning, security reviews and controlled cutovers.
Azure SQL Database work is well suited to remote collaboration because access, deployments, monitoring and documentation can be handled through cloud tools. Berlin teams may still prefer on-site workshops for discovery or handover, so agree on meeting cadence, access controls, working language and overlap with local business hours.
Ask the Azure SQL Database specialist to describe how they investigate execution plans, blocking, indexing, connection behavior and workload changes. Strong answers connect technical findings to business impact and include testing, monitoring, rollback planning, security and documentation rather than focusing only on isolated query fixes.
A Azure SQL Database migration can expose unsupported features, compatibility differences, data type concerns, linked-server dependencies or application assumptions about SQL Server behavior. A specialist should propose discovery, assessment, rehearsal, validation and cutover steps, with a clear plan for data synchronization and rollback.
Not every workload belongs on Azure SQL Database. Teams should consider transaction patterns, compatibility requirements, cross-database behavior, latency, governance and operational boundaries before choosing between Azure SQL Database, SQL Managed Instance, SQL Server and other Azure data services.
The average hourly rate of freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects is 81 €, which corresponds to a daily rate of about 650 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects are German (100%), English (100%), and Persian (17%).
The most common industries among freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects are Banking and Finance (100%), Information Technology (83%), and Manufacturing (33%).
The most common business areas among freelancers in Berlin, Germany who have used Azure SQL Database in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Munich Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
