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Amazon Kinesis Experts in Berlin

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Hire experts who design streaming pipelines, tune Kinesis Data Streams and Firehose, and build real-time event workflows for analytics and operational monitoring. Fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Berlin, who have recently used Amazon Kinesis

Verified expert

Santhosh Kannan

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Freelance Software Engineer

Berlin
Santhosh Kannan

Last position:

Freelance Software Engineer at Zalando SE

  • Support Authorization as a Service initiative for enterprise-scale authorization platform
  • Incorporate comprehensive observability solutions into authorization infrastructure
  • Provision and manage AWS infrastructure for authorization services
  • Mentor development team on AWS and Kubernetes best practices
  • Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Verified expert

Jan Krol

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Data Expert

Berlin
Jan Krol

Last position:

Data Expert at Manufacturing

Verified expert

Meisam Ghafarlangroudi

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AI Product Engineering Lead | Hands-On Delivery, Clients & Platforms

Berlin
Meisam Ghafarlangroudi

Last position:

Senior AI Engineer / Data Scientist at Geeks Ltd (WordUp)

Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.

  • Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
  • Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
  • Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
  • Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
  • Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.
Verified expert

Khaled Mohamed

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Senior/Staff Backend Engineer

Berlin
Khaled Mohamed

Last position:

Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)

  • Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
  • Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
  • Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
  • Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
  • Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
  • Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
  • Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
Verified expert

Christian Richter

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Freelance Data Engineer

Berlin
Christian Richter

Last position:

Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container

  • Contributed to over 20 successful projects
Verified expert

Ilya Isakov

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Data/Platform/Software Engineer/SRE

Berlin
Ilya Isakov

Last position:

Data/Platform/Software Engineer/SRE at IT Consulting

  • Designed a platform based on IoT, Azure, Kubernetes, and Postgres for an existing application
  • Migrated from "click-ops" and UI-defined CI/CD pipelines to infrastructure-as-code with Terraform, enabling complete redeployment of multiple environments
  • Technologies: Terraform, OpenTofu, Azure, Azure DevOps, Kafka, IoT, Kubernetes, Grafana, Prometheus, GitOps, relational databases

Discover over 15,000 top freelancers

Statistics of experts using Amazon Kinesis

Aggregated from the professional profiles of matched freelancers.

Experience

18 years (Germany: 17 years)

Position duration

2.8 years (Germany: 2.4 years)

Positions per freelancer

9 (Germany: 10)

Top business areas

Information Technology, Product Development, Business Intelligence

Top industries

Information Technology, Retail, Automotive

Bachelor's degree or higher

86% (Germany: 92%)

Master's degree or higher

29% (Germany: 54%)

Certifications per freelancer

1 (Germany: 5)

Most common languages

German, English, Arabic

Speak two or more languages

100% (Germany: 97%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€480 €640-​800 €800-​960 €960+

The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin using Amazon Kinesis

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 746 €
Germany avg. 826 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 720 €
Germany median 800 €

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

Streaming basics

Amazon Kinesis is used to move and process data as it happens. Companies use it for clickstream tracking, application events, log ingestion, IoT feeds, and alerting. It fits systems that need low-latency data flow instead of batch transfers.

Core services

  • Kinesis Data Streams for custom streaming applications
  • Kinesis Data Firehose for delivery into storage and analytics tools
  • Kinesis Data Analytics for SQL-based stream processing
  • Integration with Lambda, S3, Redshift, and OpenSearch

When experts help

Teams bring in freelancers when a stream starts lagging, delivery fails, or data needs a cleaner event model. They also help during migrations from older ingestion tools or when a product team in Berlin needs real-time features without slowing the release plan.

Skills that matter

Strong specialists know shard planning, throughput limits, ordering, retention, and replay behavior. They also understand IAM, monitoring, dead-letter patterns, and how to keep producers and consumers stable under load. Good work is practical, readable, and easy to operate.

Common delivery work

  • Event-driven backend design
  • Stream processing for dashboards and alerts
  • Log and telemetry pipelines
  • Delivery to data lakes and warehouses

What sets them apart

A good Amazon Kinesis expert does more than connect services. They design for backpressure, scaling, recovery, and clear ownership of each stream. In Berlin, that often means working smoothly with product, platform, and data teams across English and German setups.

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Frequently asked questions

The facts hiring teams ask for most often when it comes to Amazon Kinesis.

Amazon Kinesis is used to handle data that arrives continuously, such as app events, logs, tracking data, and device signals. Companies use it when they need fast processing, reliable delivery, or downstream analytics without waiting for batch jobs.

Amazon Kinesis is a managed AWS service, so teams often choose it when they want less infrastructure work and tighter AWS integration. Kafka can offer more control and portability, but it usually asks for more operational ownership. The better choice depends on whether the priority is managed simplicity or platform flexibility.

A strong Kinesis specialist usually knows Lambda, IAM, S3, CloudWatch, and one or more analytics targets such as Redshift or OpenSearch. They should also be comfortable with event modeling, retry handling, and monitoring stream health. Those skills matter because Kinesis is rarely used on its own.

Amazon Kinesis expertise matters when a team is building real-time dashboards, log pipelines, alerting flows, or event-driven services. It also helps when a stream is already running but performance, cost, or delivery reliability needs improvement. Simple one-off ingestion jobs usually need less specialist input.

Yes, Amazon Kinesis work is often well suited to mixed remote teams. The technical tasks can be handled remotely, while workshops on data ownership, incident handling, and security may benefit from a few on-site sessions in Berlin. Clear access and documentation matter more than location.

Look for real delivery work with Kinesis Data Streams, Firehose, and monitoring, not just service familiarity. Ask how they would size shards, handle retries, and keep consumers stable during load spikes. Good specialists can explain trade-offs clearly and show how they debug production issues.

No, Amazon Kinesis is also used for operational alerts, log routing, near-real-time enrichment, and feeding storage layers for later analysis. Some teams use it mainly as a transport layer, while others build processing logic on top. The right design depends on latency and reliability needs.

Useful adjacent experience includes event-driven architecture, data modeling, observability, and AWS security. A freelancer who understands producers, consumers, schema changes, and failure recovery will usually deliver better results. That background helps when the stream is part of a larger platform.

The average hourly rate of freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects is 93 €, which corresponds to a daily rate of about 746 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects, 86% hold at least a Bachelor's degree and 29% hold at least a Master's degree.

On average, freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.8 years.

The most common languages among freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects are German (100%), English (100%), and Arabic (13%).

The most common industries among freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects are Information Technology (88%), Retail (50%), and Automotive (38%).

The most common business areas among freelancers in Berlin, Germany who have used Amazon Kinesis in their recent projects are Information Technology (100%), Product Development (75%), and Business Intelligence (63%).

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

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