Azure HDInsight Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIHire experts who build and run Hadoop, Spark, Kafka, and Hive workloads on Azure HDInsight. They handle cluster setup, data pipelines, tuning, and migrations from legacy HDInsight estates. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Azure HDInsight
Ashkan Zadeh
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Kabir Khaleque
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
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
Reinhard Duy
Last position:
Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education
- Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
- Operating system: Windows
- Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
- Programming languages: Python 3.10
- Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Divij Wadhawan
Last position:
Data Scientist at Daimler R&D, Daimler AG
- Mercedes Me is an app that connects your phone to several features in the car
- Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
- Used PySpark on Databricks
Matthias Von Görbitz
Last position:
Managing Partner at IT consulting firm
Discover over 15,000 top freelancers
Statistics of experts using Azure HDInsight
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
4.2 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Banking and Finance, Information Technology, Education
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
83%
Master's degree or higher
67%
Doctorate
33%
Certifications per freelancer
5
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 Germany 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 Germany using Azure HDInsight
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 HDInsight is Microsoft’s managed service for running open-source big data frameworks on Azure. Teams use it to process large datasets, query them with familiar tools, and keep control over cluster behavior without building the whole stack from scratch.
Common workloads
- Batch processing with Apache Hadoop and Spark
- Streaming and event-driven pipelines with Kafka
- SQL-style analysis with Hive and interactive query tools
- Data lake integration with Azure storage services
- Lift-and-shift of existing Hadoop estates
Ecosystem skills Strong specialists know the Azure pieces around HDInsight, not just the cluster itself. That includes networking, identity, storage, monitoring, automation, and secure data access. They also understand how Spark jobs, Hive scripts, and notebook-based analysis fit into a larger delivery flow.
When to bring in help Companies bring in freelance expertise when a cluster is slow, unstable, expensive, or hard to secure. It also helps during migrations from on-prem Hadoop, during platform redesigns, or when a team needs temporary coverage for a live data estate. In Germany, this often suits firms that want remote support with occasional onsite workshops.
What strong experts do
- Size and configure clusters for the workload
- Tune Spark, storage, and query performance
- Design secure access and identity setup
- Automate deployment and repeatable operations
- Troubleshoot jobs, queues, and data paths
How to judge fit Good Azure HDInsight professionals explain trade-offs clearly and work from the data flow back to the cluster. They can read logs, trace failures across Azure services, and suggest when HDInsight still fits and when a newer managed service is a better option. Look for practical delivery, not just framework names.
Frequently asked questions
What clients ask us most about Azure HDInsight — answered in short.
Azure HDInsight is used to run managed big data workloads on Azure, especially when a team needs Hadoop, Spark, Hive, or Kafka without operating the full platform itself. It is a fit for batch processing, large-scale querying, streaming pipelines, and migrations from older data platforms.
Azure HDInsight gives you managed clusters for open-source frameworks, so it feels close to the original Hadoop and Spark stack. Databricks is more focused on collaborative lakehouse work, while Synapse combines analytics services in a broader workspace. The right choice depends on how much control, compatibility, and operational ownership you need.
A strong Azure HDInsight specialist knows Spark, Hadoop, Hive, and Kafka, but also Azure storage, networking, identity, and monitoring. They should be able to troubleshoot cluster issues, improve performance, and automate repeatable deployments. Strong scripting and data-pipeline experience help as well.
Teams usually bring in Azure HDInsight expertise when a cluster is unstable, slow, or difficult to secure. It also helps during migrations, platform upgrades, or short-term delivery spikes. If your team knows Azure but not the data frameworks, external support can reduce risk fast.
Yes, Azure HDInsight work is often remote-friendly because most of the work happens in Azure, in notebooks, pipelines, and logs. Remote specialists can handle tuning, automation, and troubleshooting effectively if they have access to the right environments and clear ownership. On-site time is mainly useful for workshops or sensitive migration phases.
Look for evidence of real delivery with Azure HDInsight, not just framework familiarity. Good signs are clear explanations of cluster sizing, secure access, failure handling, and cost-aware design. Ask how they would diagnose a slow Spark job or a failing Hive query, and listen for a structured approach.
Azure HDInsight projects often need storage, identity, networking, monitoring, and automation skills alongside the cluster work itself. Common adjacent services include Azure Data Lake Storage, Key Vault, Azure Monitor, and CI/CD tooling. If a freelancer knows these well, handoff and operations are usually smoother.
Azure HDInsight can still make sense when you need close compatibility with Hadoop-style workloads or an existing Spark and Hive estate. For new builds, many teams also compare it with newer Azure analytics services before deciding. A good specialist should explain the trade-offs honestly and help you choose the right path.
The average hourly rate of freelancers in Germany who have used Azure HDInsight in their recent projects is 100 €, which corresponds to a daily rate of about 800 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure HDInsight in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Germany who have used Azure HDInsight in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 4.2 years.
The most common languages among freelancers in Germany who have used Azure HDInsight in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Germany who have used Azure HDInsight in their recent projects are Banking and Finance (67%), Information Technology (67%), and Education (50%).
The most common business areas among freelancers in Germany who have used Azure HDInsight in their recent projects are Information Technology (100%), Business Intelligence (83%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Azure HDInsight
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
