Amazon Kinesis Experts in Munich
from over 15,000 CVs with fast, precise AI matchingHire experts who design streaming data pipelines, connect Amazon Kinesis Data Streams with AWS Lambda and build real-time analytics with Amazon Kinesis Data Analytics. FRATCH matches you quickly with vetted, available freelancers suited to your project.
Meet FRATCH Experts in Munich, who have recently used Amazon Kinesis
Eli R.
Last position:
Technical co-founder at AskTheLaws
- Create an AI legal assistant with modern ML capabilities.
- Implement RAG architecture, with data pipelines for legal data search.
- Use AWS Bedrock for LLM and embedding models and LangChain/LangGraph
- Python with FastApi for backend and React for frontend
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.
Paul W.
Last position:
Agentic AI Solution Architect at Solvd GmbH
As the Solution Architect for Agentic AI in auto claims processing, I led global customer delivery implementations, encompassing solution design and detailing, multi-tenancy, process flows, integration with third-party solutions, and localization requirements.
- Architectural Analysis: Conducted in-depth analysis of business requirements, managing requirements and creating detailed specifications.
- Service Definition: Developed comprehensive technical definitions for services and integration contracts.
- AI Process Management: Automated AI process management, focusing on analysis, optimization, and continuous improvement.
- Requirements Gathering: Facilitated requirement-gathering sessions and analyzed business processes to identify optimization opportunities.
- Agile Collaboration: Employed agile methodologies, working closely with stakeholders to ensure alignment and responsiveness.
- Technical Support: Assisted senior management with technical analyses and deliverability assessments.
Jiri S.
Last position:
Quality Manager/Test Management at Noriba GmbH
- Test concept creation
- Creation of test processes
- Coordination of TC development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- HW testing: FPGA, RF
- Test automation and regression tests
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and the project manager
Clarissa H.
Last position:
AI Trainer at Komdis GmbH
- Led comprehensive AI workshops for professionals, focusing on AI-driven process automation.
- Tech Stack: n8n, Make, LLMs (OpenAI, Anthropic), Prompt Engineering, Process Mapping Tools.
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)
Christof N.
Last position:
Senior Developer at Otto GmbH
- Further development of personalized advertising spaces on the Otto web shop
- Full-stack development in a Kanban-driven team of about 15 people
- Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
- Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions
Discover over 15,000 top freelancers
Statistics of experts using Amazon Kinesis
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
3.3 years (Germany: 2.3 years)
Positions per freelancer
13 (Germany: 10)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Telecommunication, Aerospace and Defense
Certification focus areas
Information Technology, Quality Assurance, Product Development
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
86% (Germany: 56%)
Doctorate
14% (Germany: 15%)
Certifications per freelancer
3 (Germany: 5)
Most common languages
English, German, Spanish
Speak two or more languages
86% (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 Amazon Kinesis
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.
Amazon Kinesis 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%)
- Telecommunication (57%)
- Aerospace and Defense (43%)
- Automotive (43%)
- Education (43%)
- Banking and Finance (43%)
- Transportation (43%)
- Manufacturing (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Real-time data
Amazon Kinesis is an AWS service family for collecting, processing and analyzing streaming data as it arrives. Companies use Kinesis Data Streams for application events, telemetry, clickstreams, transactions and operational logs. It helps teams react to live information without waiting for batch imports or scheduled warehouse loads.
Core services
Kinesis Data Streams provides durable, ordered streams that applications can read and process at their own pace. Kinesis Data Firehose delivers streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon OpenSearch Service and third-party tools. Kinesis Data Analytics supports continuous analysis with SQL or Apache Flink, while Video Streams handles media ingestion for connected devices and applications.
Delivery patterns
Experts build event-driven pipelines that connect producers, streams, processing logic and storage. Typical work includes:
- Designing stream names, partitions, retention and consumer access
- Connecting Kinesis with AWS Lambda, Amazon EventBridge and Amazon MSK
- Routing data to S3, OpenSearch, Redshift or external analytics systems
- Creating real-time dashboards, alerts and enrichment flows
Skills around Kinesis
Reliable Kinesis work depends on more than configuring an AWS service. Strong specialists understand IAM, VPC networking, encryption, CloudWatch monitoring and infrastructure as code with AWS CloudFormation or Terraform. They also work with event schemas, serialization formats, replay strategies and downstream systems such as Apache Kafka, Flink and Spark.
When expertise matters
Companies bring in freelance professionals when a proof of concept must become a dependable production pipeline, when stream throughput or consumer lag is difficult to control, or when a legacy batch process needs real-time behavior. Relevant signs include:
- Events are lost, duplicated or processed out of order
- Consumers fall behind during traffic spikes
- Data needs enrichment before it reaches analytics or storage
- Monitoring, access controls or disaster recovery remain unclear
What quality looks like
A capable Kinesis specialist starts with event volume, ordering needs, latency goals, retention and failure handling rather than selecting services in isolation. They make partition-key choices explicit, design idempotent consumers and test retries, resharding and replay. Clear runbooks, observable pipelines, controlled costs and secure data flows are signs of work ready for long-term operation.
Frequently asked questions
Need clarity? These are the questions we hear most often about Amazon Kinesis.
Amazon Kinesis is used to ingest, process and analyze continuously arriving data. Common applications include clickstream analysis, IoT telemetry, application monitoring, fraud signals, operational alerts and real-time dashboards.
Amazon Kinesis is a managed AWS service that reduces operational work inside an AWS environment. Apache Kafka offers a broad ecosystem and portability, while Kinesis can be a practical choice when teams want native integration with Lambda, IAM, S3 and other AWS services.
A strong Amazon Kinesis specialist usually understands AWS Lambda, IAM, CloudWatch, S3, Redshift and OpenSearch. Experience with Apache Flink, Kafka, Terraform, event schemas and observability is also valuable for production streaming systems.
The right level depends on the work: a focused data delivery task may need narrower service knowledge, while a production platform requires experience with partition design, replay, failure recovery and security. Ask for examples of Kinesis pipelines that remained reliable under changing traffic and consumer behavior.
Amazon Kinesis work is often suitable for remote collaboration because configuration, code, monitoring and documentation can be reviewed online. On-site sessions in Munich may still help with workshops, access approvals or coordination with teams responsible for connected devices and operational systems.
Look for a clear explanation of partition keys, throughput, ordering, retention and consumer lag. A credible Kinesis professional should also describe how they handle duplicates, retries, dead-letter paths, replay and CloudWatch-based alerting.
Amazon Kinesis Data Streams gives applications direct access to streaming records for custom processing and controlled consumption. Kinesis Data Firehose is designed to deliver streaming data to supported destinations with less infrastructure to manage.
An experienced Amazon Kinesis freelancer defines event contracts, chooses suitable partition keys and makes consumers idempotent. They validate recovery through load and failure tests, then document monitoring, replay procedures, access controls and operational ownership.
The average hourly rate of freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects is 105 €, which corresponds to a daily rate of about 840 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects, 100% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects are English (100%), German (86%), and Spanish (29%).
The most common industries among freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects are Information Technology (100%), Telecommunication (57%), and Aerospace and Defense (43%).
The most common business areas among freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects are Information Technology (100%), Product Development (86%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used Amazon Kinesis
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 
Berlin Request a free demo
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FRATCH CEO
