Azure Synapse Analytics Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Azure Synapse Analytics
Hardeep B.
Last position:
Sr. Data Engineer at Charles Schwab Bank
- Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
- Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
- Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
- Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
- Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
- Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
- Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
- Created and maintained dashboards in Power BI to provide actionable insights.
Nima N.
Last position:
Co founding LLM Engineer at LLM Ventures
- Co-founded an AI venture focused on building production-grade LLM applications and agentic systems
- Designed and implemented multi-agent AI workflows for financial and trading applications
- Developed LLM-powered copilot architectures for portfolio analysis, trade management, and personalized user coaching
- Built on-device and edge-deployed inference applications, optimizing models for low latency, privacy, and resource-constrained environments
- Led system architecture decisions across model selection, orchestration, state management, and deployment
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
Stefan C.
Last position:
SSIS Development at Stadtsparkasse München
- Replacement of a Java application and the Oracle DB for loading the internal WerWasWo system using SSIS.
- Development of SSIS packages to load text files into the database (SQL Server)
- Development of a database project for deployment on various servers
- Creation of queries to monitor the loading runs
- Development of a PowerShell script to automate the deployment of the SSDT projects.
- Oracle, SQL Developer, Microsoft SQL Server 2022 on-premises, SQL Server Management Studio v21, Visual Studio 2022, SSIS, SSDT, PowerShell.
Manikanta R.
Last position:
Data Engineer at Insurance client
- Design, development, and maintenance of end-to-end ETL pipelines for scalable and reliable data integration
- Support in data quality checks, testing, and migrations
- Development and maintenance of dbt models for structured, modular, and reusable data transformations
- Use of AI-driven development to improve ETL job creation and code quality.
- Development of CI/CD for automated deployment.
Satish K.
Last position:
Sustainability Intern at Forschungszentrum Jülich GmbH
- Developed energy estimation models to estimate electric charging and hydrogen refueling requirements at charging and refueling stations for logistics trucks in Germany.
- Estimated future freight traffic demand for Germany using an in-house transport demand model.
- Designed a network of electric charging and hydrogen refueling stations based on transport model results, supporting data-driven infrastructure planning.
Discover over 15,000 top freelancers
Statistics of experts using Azure Synapse Analytics
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 16 years)
Position duration
1.8 years (Germany: 2.1 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Information Technology, Business Intelligence
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
80% (Germany: 65%)
Doctorate
20% (Germany: 12%)
Certifications per freelancer
3 (Germany: 5)
Most common languages
English, German, Persian
Speak two or more languages
83% (Germany: 97%)
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 Synapse Analytics
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 Synapse Analytics 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 (83%)
- Information Technology (67%)
- Professional Services (50%)
- Retail (50%)
- Telecommunication (50%)
- Healthcare (33%)
- Insurance (33%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data warehousing
Azure Synapse Analytics brings SQL, Spark, and data integration into one service for analytics workloads. It is used to shape raw data into reporting models, serve business dashboards, and support data lake and warehouse designs. Many teams still search for Azure Synapse or the older Azure SQL Data Warehouse name.
What specialists deliver
- Workspace setup and access design
- Dedicated or serverless SQL development
- Spark notebooks for data prep and analysis
- Pipelines for batch ingestion and orchestration
- Links to Power BI and downstream reporting
When companies bring in freelancers
Teams usually look for outside help when a warehouse needs a redesign, a migration from SQL Data Warehouse is underway, or pipeline logic has become hard to maintain. Freelancers also help when a release is blocked by performance issues, security review, or unclear ownership between data and analytics teams.
Ecosystem and tooling
Strong professionals working with Azure Synapse Analytics know how to combine SQL, Spark, Data Lake Storage, Key Vault, and Azure Data Factory patterns. They should understand tables, partitions, file formats, and access control. In Munich, they often work with international teams, so clear English communication matters.
What strong experts bring
A good specialist writes clean SQL, understands data modeling, and knows when to use serverless queries versus dedicated resources. They test pipelines, check lineage, and keep logic understandable for other experts. They also spot design issues early, before they turn into slow reports or fragile refreshes.
Common project outcomes
Typical deliverables include a governed analytics workspace, reliable ingestion jobs, curated warehouse layers, and reporting-ready datasets. Teams also hire for migration planning, query tuning, cost-aware design, and handover documentation. The goal is stable analytics that business users can trust without rework.
Frequently asked questions
Not sure where to start with Azure Synapse Analytics? These answers cover the essentials.
Azure Synapse Analytics is used to build analytics environments that combine data integration, SQL querying, Spark processing, and warehouse-style reporting. Companies use it to turn raw source data into curated datasets that support dashboards, analysis, and operational reporting.
Azure Synapse Analytics overlaps with both, but it is broader than a pure orchestration tool and more warehouse-oriented than a pure Spark workspace. Teams often pair it with Azure Data Factory for ingestion or with Databricks for heavy notebook-led engineering, depending on the workload.
A strong Synapse specialist usually knows SQL, data modeling, Spark, and Azure storage concepts. Familiarity with Power BI, security design, CI/CD, and pipeline monitoring is also useful because Synapse projects rarely stop at query writing.
The right Azure Synapse Analytics expert depends on the task. A small reporting workspace may need only focused support, while a migration, performance redesign, or governed platform rollout needs a specialist who has handled end-to-end delivery and troubleshooting.
Yes, Azure Synapse Analytics work is often done remotely because most tasks are design, development, and review based. In Munich, on-site sessions can still help during discovery, stakeholder workshops, or handover meetings, especially when data ownership spans several teams.
Look for a Synapse Analytics expert who explains trade-offs clearly, not just one who can write queries. Good signs are structured pipeline design, sensible security choices, clear documentation, and the ability to describe how the solution will be maintained after go-live.
For many Azure Synapse Analytics use cases, yes, especially when a team wants SQL analytics, Spark, and integration in one environment. The best choice depends on the target architecture, existing Azure services, and whether the project needs a warehouse-first or notebook-first approach.
Companies often ask a Synapse specialist to clean up slow SQL, repair broken pipelines, improve data loading, or migrate old warehouse logic into a more manageable design. They also bring in freelancers when governance, access control, or workspace structure has become hard to maintain.
The average hourly rate of freelancers in Munich, Germany who have used Azure Synapse Analytics in their recent projects is 94 €, which corresponds to a daily rate of about 751 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Azure Synapse Analytics in their recent projects, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Azure Synapse Analytics in their recent projects have 17 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 Synapse Analytics in their recent projects are English (100%), German (83%), and Persian (17%).
The most common industries among freelancers in Munich, Germany who have used Azure Synapse Analytics in their recent projects are Banking and Finance (83%), Information Technology (67%), and Professional Services (50%).
The most common business areas among freelancers in Munich, Germany who have used Azure Synapse Analytics in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (50%).
Main locations of FRATCH Experts, who have recently used Azure Synapse Analytics
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 
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FRATCH CEO
