Amazon EMR Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who run large-scale Spark and Hadoop workloads, design EMR on EC2 or EMR Serverless environments, and connect data lakes with Amazon S3, Glue and Athena. FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Amazon EMR
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Jan K.
Last position:
Data Expert at Manufacturing
Louis G.
Last position:
Freelance Solutions Architect and Machine Learning Engineer at Self-employed
- Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
- Work with customers to understand their challenges and provide the best solutions based on open-source data products
- Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
- Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
- Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
- Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
- Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
- Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible
Christian R.
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Ilya I.
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
Joseph Chris Adrian R.
Last position:
Data Scientist II at Amazon
- Engaged stakeholders to understand requirements and define the project scope and success criteria
- Demonstrated adaptability by quickly ramping up in a complex, ambiguous regulatory space
- Authored comprehensive science design, architecture review and final methodology documentation ensuring reproducibility
- Gathered data stored in Amazon Redshift and Amazon S3 using SQL
- Performed exploratory data analysis and feature engineering using Python (matplotlib and seaborn), PySpark and Amazon EMR
- Developed and validated machine learning models to facilitate optimization, time-series forecasting, anomaly detection and classification
- Developed machine learning models using Python libraries such as scikit-learn, numpy and pandas
- Deployed the machine learning model using AWS cloud platform (MLOps), especially AWS SageMaker
David H.
Last position:
Cloud & Data Engineer at zeb.information.technology GmbH & Co. KG
- German Landesbank in the area of credit risk:
- Design and implementation of a scalable, cloud-native ETL pipeline with Apache Airflow, PySpark and AWS EMR on EKS, including data integration, transformation and production operations
- Support in building and operating a cloud-based SaaS infrastructure on AWS with Helm, Kubernetes, ArgoCD, Grafana and Terraform/Terragrunt
- Use of modern data engineering technologies to develop efficient data pipelines with Git, CI/CD and DevOps practices
- Coordination of technical requirements with business and IT stakeholders in the banking environment
- Specialist service provider for banking regulation & rating procedures in the area of market price risk:
- Development of an analysis and validation platform in Kubernetes (on-premise) to automate calculations with Apache Airflow
- Development of analysis dashboards and evaluations with Python, R and SQL
Discover over 15,000 top freelancers
Statistics of experts using Amazon EMR
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
3.2 years
Positions per freelancer
7
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
83%
Master's degree or higher
50%
Certifications per freelancer
3
Most common languages
German, English, Czech
Speak two or more languages
100%
Based on our profile pool as of 26 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Amazon EMR
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 26 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon EMR 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 (86%)
- Professional Services (57%)
- Automotive (29%)
- Energy (29%)
- Manufacturing (29%)
- Media and Entertainment (29%)
- Sport (29%)
- Advertising (14%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Amazon EMR does
Amazon EMR, also known as Amazon Elastic MapReduce, is an AWS service for processing large datasets with distributed frameworks. It runs Apache Spark, Hadoop, Hive, Trino and other open-source tools while handling much of the cluster setup. Companies use it for data lakes, batch processing, analytics and machine learning preparation.
Core architectures
EMR can run on EC2 clusters, on EKS, or in a serverless model. Strong designs separate compute from storage with Amazon S3, use managed scaling where appropriate and define repeatable environments through infrastructure as code. The right choice depends on workload duration, isolation, operational control and integration needs.
Ecosystem and tooling
Experts working with EMR usually connect it to a broader AWS data stack:
- Amazon S3 for durable data-lake storage and partitioned datasets
- AWS Glue Data Catalog for schemas, discovery and governance
- Amazon Athena, Redshift or OpenSearch for downstream analysis
- Apache Spark, Hive, Trino and Hadoop for distributed processing
- CloudWatch, IAM and Lake Formation for operations and access control
Typical delivery work
Freelance specialists help create ingestion pipelines, optimise Spark jobs and migrate legacy Hadoop workloads to AWS. They also configure bootstrap actions, networking, security policies, logging and automated deployments. In Berlin, they may support local data, finance, mobility or research teams through remote collaboration or on-site workshops.
When companies need help
External expertise is useful when an EMR environment is costly, unreliable or difficult to govern. Common signals include slow Spark stages, oversized clusters, repeated manual releases or unclear S3 and IAM permissions. Specialists can assess the platform, define a migration path and leave behind runbooks that internal teams can use.
What strong experts bring
Quality is visible in more than a successful cluster launch. Strong professionals explain partitioning, shuffle behaviour, file formats and workload sizing in practical terms, then validate decisions with logs and workload evidence. They understand AWS networking and security as well as Spark code, and they document failure recovery, monitoring and cost controls clearly.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Amazon EMR.
Amazon EMR is used to process and analyse large datasets with distributed tools such as Apache Spark, Hadoop, Hive and Trino. Companies use it for batch pipelines, data-lake preparation, log analysis, feature generation and other workloads that need scalable compute.
Amazon EMR offers close control over AWS infrastructure, open-source components and integration with services such as S3, Glue and IAM. Databricks provides a more unified analytics experience with its own workspace and managed features, so the better fit depends on governance, portability, team preferences and the required operating model.
Amazon EMR work often requires Apache Spark, SQL, Python or Scala, plus practical AWS knowledge. Useful adjacent skills include S3 data-lake design, Glue, IAM, VPC networking, CloudFormation or Terraform, CloudWatch and data formats such as Parquet.
A strong EMR specialist should have handled workloads comparable to yours, not just launched a sample cluster. Ask about production Spark performance, failed jobs, security boundaries, deployment automation and how the specialist measured reliability and resource use.
Amazon Elastic MapReduce is managed through AWS consoles, APIs and deployment tools, so much of the work can be done remotely from Berlin. On-site sessions can still help with architecture workshops, stakeholder alignment and access reviews, while clear documentation supports distributed teams.
EMR Serverless suits variable workloads where the team wants less cluster administration and automatic resource handling. EMR on EC2 offers more control over instance types, networking, persistent configuration and specialised tuning, which can matter for steady or tightly controlled workloads.
A capable Amazon EMR expert can explain partitioning, shuffles, file sizes, scaling decisions and failure recovery in terms your team can verify. Request a clear assessment plan, relevant delivery examples, monitoring recommendations and documentation standards before work begins.
AWS EMR projects vary widely between exploratory analytics, scheduled pipelines and continuously operated data platforms. Specialists should clarify the Spark or Hadoop distribution, deployment model, data sensitivity, access process, on-call expectations and the team's preferred tools before estimating the work.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon EMR in their recent projects is 107 €, which corresponds to a daily rate of about 855 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon EMR in their recent projects, 83% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Amazon EMR in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Berlin, Germany who have used Amazon EMR in their recent projects are German (100%), English (100%), and Czech (14%).
The most common industries among freelancers in Berlin, Germany who have used Amazon EMR in their recent projects are Information Technology (86%), Professional Services (57%), and Automotive (29%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon EMR in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (43%).
Main locations of FRATCH Experts, who have recently used Amazon EMR
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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