Amazon EventBridge Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Amazon EventBridge
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Sara Zarei
Last position:
Data Analyst / Analytics Engineer at IDG Tech Media GmbH
- Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
- Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
- Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
- Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
- Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
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
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
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
Discover over 15,000 top freelancers
Statistics of experts using Amazon EventBridge
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.7 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Education, Retail
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
67%
Doctorate
17%
Certifications per freelancer
2
Most common languages
German, English, Czech
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 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 EventBridge
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
Event routing
Amazon EventBridge is AWS’s managed event bus for building event-driven systems. It routes events from AWS services, custom apps, and SaaS tools to the right targets without tight coupling. Teams use it when they want clean integration between services and clear control over who reacts to each event.
Typical work
- Design event buses and routing rules
- Connect Lambda, Step Functions, SQS, and SNS
- Set up SaaS and custom event sources
- Shape event schemas and event contracts
- Tune filtering, retries, and dead-letter handling
Skills that matter
Strong Amazon EventBridge professionals understand event patterns, JSON payloads, and AWS integration points. They also work well with IAM, CloudTrail, Lambda, Step Functions, and observability tools so events stay traceable and secure. Clear naming and contract discipline matter as much as implementation.
When to bring in help
Companies usually look for freelance expertise when they need to untangle brittle point-to-point integrations, migrate from older CloudWatch Events setups, or add event-driven workflows to a live AWS environment. In Munich, this often fits teams that need short, focused support while keeping delivery close to internal stakeholders.
Ecosystem fit
Amazon EventBridge often sits in the middle of a wider AWS architecture. It is commonly paired with serverless components, workflow orchestration, and monitoring so teams can react to system changes, business events, and external signals in a controlled way.
What good experts deliver
Good specialists do more than wire targets to rules. They document event models, avoid duplicate or noisy events, test failure paths, and make sure the setup is easy to extend. They also know when EventBridge is the right fit and when a simpler queue or direct call is better.
Frequently asked questions
Questions about Amazon EventBridge? Start with the answers below.
Amazon EventBridge is used to move events between AWS services, custom applications, and external SaaS tools. It is a strong fit for event-driven workflows, workflow triggers, and decoupled service communication. Teams use it when they want routing based on event content, not hardwired service links.
Amazon EventBridge is built for event routing and filtering across many producers and consumers. SNS is simpler for broad publish-subscribe messaging, while SQS is for queued, durable processing by workers. A good specialist chooses EventBridge when the project needs richer rules, event buses, and tighter integration with AWS event sources.
Amazon EventBridge grew out of the older CloudWatch Events model, and many teams still use the older name when searching or talking about legacy setups. The service now covers more event sources and integrations than the original version. For migration work, a freelancer should understand both names and the differences in current AWS usage.
A strong Amazon EventBridge specialist usually knows Lambda, Step Functions, IAM, CloudWatch, SNS, and SQS. Schema design and basic serverless architecture are also useful, especially for teams that need reliable event contracts. If the system involves external SaaS sources, API integration experience helps as well.
Amazon EventBridge projects need deeper expertise when routing becomes business-critical, when there are many event types, or when failure handling must be precise. That also applies when rules, schemas, and permissions have to be reviewed across several AWS accounts. In those cases, architecture choices matter more than simple setup.
Yes. Amazon EventBridge work is usually done in AWS and can be handled remotely if access, architecture notes, and event samples are shared clearly. For Munich-based teams, a local specialist can also join on-site when workshops, migration planning, or stakeholder reviews need tighter coordination.
Look for someone who explains event flow clearly and asks about failure paths, retries, and schema changes early. A strong Amazon EventBridge professional will also discuss observability, IAM boundaries, and how to keep events easy to test. Good signs include clean documentation and realistic trade-offs, not just working rules.
Amazon EventBridge freelancers are often hired to build new event-driven integrations, clean up fragile AWS messaging setups, or replace custom polling jobs. They also help when teams need to connect SaaS events into internal workflows without adding tight coupling. For many companies, the goal is simpler flow and less manual glue code.
The average hourly rate of freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects is 114 €, which corresponds to a daily rate of about 910 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects, 100% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects are German (100%), English (100%), and Czech (17%).
The most common industries among freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects are Information Technology (83%), Education (67%), and Retail (67%).
The most common business areas among freelancers in Munich, Germany who have used Amazon EventBridge in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (83%).
Main locations of FRATCH Experts, who have recently used Amazon EventBridge
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.
Countries:
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
