Amazon Kinesis Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Amazon Kinesis
Hardeep Bhutter
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 Webster
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.
Clarissa Heinemann
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.
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Daniel Carton
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)
Jiri Sostok
Last position:
Quality Manager/Test Management at Noriba GmbH
- Creation of test concepts
- Development of test processes
- Coordination of test case development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- Hardware testing: FPGA, RF
- Test automation and regression testing
- 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 project managers
Christof Nasahl
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
19 years (Germany: 17 years)
Position duration
3.3 years (Germany: 2.4 years)
Positions per freelancer
12 (Germany: 10)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Manufacturing
Certification focus areas
Information Technology, Quality Assurance, Product Development
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
71% (Germany: 54%)
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 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Stream Processing
Amazon Kinesis is used to move and process event data as it arrives. Companies bring in specialists to build streaming pipelines for app logs, click events, IoT signals, transaction feeds, and operational alerts. It is a strong fit when systems must react before data lands in a warehouse.
Main Services
- Kinesis Data Streams for custom real-time processing
- Kinesis Data Firehose for managed delivery to storage and analytics tools
- Kinesis Data Analytics for SQL and streaming queries
- Kinesis Video Streams for media and sensor video pipelines
These services are often combined in one AWS setup. The right expert knows when to keep processing simple and when to split workloads across services.
Skills That Matter
Strong professionals understand shard design, ordering, throughput limits, retention, and consumer logic. They also work with IAM, CloudWatch, Lambda, S3, Redshift, OpenSearch, and downstream data models. Good delivery means clean event schemas, safe retries, and predictable latency.
When To Hire
Companies usually hire freelance expertise when a stream stalls, costs drift, or a new product needs live data from day one. In Munich, this often comes up in e-commerce, mobility, media, industrial systems, and data teams that already run on AWS. Remote work is common, but on-site sessions help during architecture reviews and incident recovery.
What Good Work Looks Like
- Clear stream and consumer design
- Backpressure and error handling that does not lose events
- Monitoring for lag, failures, and hot shards
- Infrastructure as code for repeatable setup
- Documentation that ops and data teams can use
A strong specialist leaves the pipeline stable, readable, and easy to extend.
AWS Fit
Amazon Kinesis, often called AWS Kinesis, is rarely used alone. It usually sits next to Lambda, S3, Glue, Athena, and dashboards or alerting tools. Skilled experts know how to connect the pieces without building a fragile chain of manual steps.
Frequently asked questions
Need clarity? These are the questions we hear most often about Amazon Kinesis.
Amazon Kinesis is used to collect, move, and process streaming data as events happen. Companies use it for logs, metrics, user activity, device telemetry, and operational alerts where batch processing is too slow.
Kinesis is often chosen when a team wants a managed AWS-native streaming service with tight integration into the rest of the stack. Kafka is usually favored for deeper broker control, while Firehose is better when the main goal is simple delivery into storage or analytics systems.
A strong Amazon Kinesis specialist usually also knows IAM, CloudWatch, Lambda, S3, and at least one analytics target such as Redshift or OpenSearch. Data modeling, event schemas, and troubleshooting distributed systems are also important.
For AWS Kinesis, the needed depth depends on the stream shape and failure risk. Small delivery pipelines may need only focused setup work, while low-latency or high-volume systems need someone who has handled shard planning, consumer design, and recovery paths before.
Yes. Many Amazon Kinesis tasks can be done remotely because they center on architecture, code, and AWS configuration. On-site time in Munich is most useful for workshops, incident analysis, and aligning with local product or operations teams.
Ask how they would size a stream, handle retries, detect lag, and keep events in order where it matters. For Amazon Kinesis, a good answer should mention trade-offs, monitoring, and how they would test failure cases, not just how to create a stream.
If events are delayed, costs are unclear, or consumers fail under load, it is time to bring in Kinesis expertise. Another sign is when several teams need the same stream but no one owns the schema, alerts, or replay strategy.
Look for clear explanations of stream design, delivery guarantees, and how they prevent data loss. A strong Amazon Kinesis professional can describe real incidents, show how they used monitoring, and explain why they chose one service path over another.
The average hourly rate of freelancers in Munich, Germany who have used Amazon Kinesis in their recent projects is 110 €, which corresponds to a daily rate of about 880 € 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, 71% 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 19 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%), Automotive (57%), and Manufacturing (57%).
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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Philipp Thomaschewski
FRATCH CEO
