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Amazon Athena Experts in Berlin

for fast, precise AI matching with vetted and available freelancers

Hire experts who query data directly in Amazon S3, shape serverless analytics with AWS Glue and publish results through BI tools such as Amazon QuickSight. FRATCH matches you quickly with precise, vetted and available freelancers.

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

Verified expert

Mansharan K.

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Senior Analytics Engineer and BI Platform Owner

Berlin
Mansharan K.

Last position:

MS Fabric | Power BI Consultant at Gropyus Technologies GmbH

  • Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
  • Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
  • Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.
Verified expert

Alexander Z.

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Senior Data Architect & Data Engineer

Berlin
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.
Verified expert

Bidya B.

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Senior Product Owner - Agentic AI & Intelligent Platforms | Fintech, SaaS, Risk & Ecommerce

Berlin
Bidya B.

Last position:

Product Manager – Payments & Platform at Pipedrive

CRM and revenue platform managing billing and subscription workflows.

  • Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
  • Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
  • Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
  • Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
Verified expert

Gyan P.

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Senior Azure Cloud & DevOps Architect

Berlin
Gyan P.

Last position:

Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch

  • Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
  • Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
  • Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
  • Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
  • Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
  • Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
  • Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
  • Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
  • FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
  • Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
Verified expert

Jan K.

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Data Expert

Berlin
Jan K.

Last position:

Data Expert at Manufacturing

Verified expert

Salvation O.

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Product Management Consultant

Berlin
Salvation O.

Last position:

Product Management Consultant at Self-Employed (Freelancer)

  • Led end-to-end product discovery and strategy engagements for early-stage founders (pre-seed) clients, defining product vision, OKRs, and go-to-market strategies and roadmaps for their cloud-based and AI-enabled solutions.
  • Designed scalable product operating models (Agile/Scrum, backlog governance, KPI frameworks) as part of the partnership, to improve delivery predictability and reduce feature cycle time by up to 30%.
  • Built scalable product roadmaps aligned to fundraising milestones, helping founders articulate product vision, product<>market fit, and traction clearly to investors.
Verified expert

Recep C.

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Sr. Software Engineer

Berlin
Recep C.

Last position:

Sr. Software Engineer at Endava

  • Designed and deployed scalable REST APIs for enterprise clients
  • Led migration of legacy systems to modern maintainable system, reducing deployment time and enabling daily deployments
  • Mentored junior developers and collaborated cross-functionally to align technical roadmaps with business goals, improving team velocity by 50%.
  • Tech Stack: PHP (Symfony), Golang, PostgreSQL, MySQL, GCP, Terraform, Kubernetes
Verified expert

Christian R.

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Freelance Data Engineer

Berlin
Christian R.

Last position:

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

  • Contributed to over 20 successful projects

Discover over 15,000 top freelancers

Statistics of experts using Amazon Athena

Aggregated from the professional profiles of matched freelancers.

Experience

16 years (Germany: 15 years)

Amazon Athena experts in Berlin have 16 years of professional experience on average. It is 1 year more than in Germany, where the average stands at 15 years.

Position duration

2.5 years (Germany: 2 years)

Amazon Athena experts in Berlin stay in a single position for 2.5 years on average. It is 0.5 years more than in Germany, where the average stands at 2 years.

Positions per freelancer

8 (Germany: 9)

Amazon Athena experts in Berlin have completed 8 positions on average over the course of their careers. It is 1 fewer than in Germany, where the average stands at 9.

Top business areas

Information Technology, Business Intelligence, Product Development

Amazon Athena experts in Berlin have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Product Development.

Top industries

Information Technology, Automotive, Banking and Finance

Amazon Athena experts in Berlin are most in demand in Information Technology, Automotive, and Banking and Finance.

Certification focus areas

Information Technology, Business Intelligence, Product Development

Amazon Athena experts in Berlin earn their certifications most often in Information Technology, Business Intelligence, and Product Development.

Bachelor's degree or higher

89% (Germany: 93%)

89% of Amazon Athena experts in Berlin hold at least a Bachelor's degree. It is 4% lower than in Germany, where the rate stands at 93%.

Master's degree or higher

33% (Germany: 53%)

33% of Amazon Athena experts in Berlin hold at least a Master's degree. It is 20% lower than in Germany, where the rate stands at 53%.

Doctorate

11%

11% of Amazon Athena experts in Berlin have a doctorate (PhD).

Certifications per freelancer

3 (Germany: 4)

Amazon Athena experts in Berlin hold 3 professional certifications on average. It is 1 fewer than in Germany, where the average stands at 4.

Most common languages

English, German, Hindi

Amazon Athena experts in Berlin most often speak English, German, and Hindi.

Speak two or more languages

100%

100% of Amazon Athena experts in Berlin speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
10% of Amazon Athena experts in Berlin charge less than €480 per day.
10% of Amazon Athena experts in Berlin charge between €480 and €640 per day.
40% of Amazon Athena experts in Berlin charge between €640 and €800 per day.
10% of Amazon Athena experts in Berlin charge between €800 and €960 per day.
30% of Amazon Athena experts in Berlin charge €960 or more per day.
<€480 €480-​640 €640-​800 €800-​960 €960+

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 Athena

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

1000
750
500
250
Rate comparison chart
Daily rate avg. 754 €
Germany avg. 773 €

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 700 €
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Amazon Athena 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 (80%)
  • Automotive (40%)
  • Banking and Finance (40%)
  • Media and Entertainment (40%)
  • Professional Services (40%)
  • Retail (30%)
  • Manufacturing (20%)
  • Tourism (20%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Serverless queries

Amazon Athena is a serverless, interactive query service for analyzing data stored in Amazon S3. It uses standard SQL and removes the need to provision or maintain database servers. Companies use it for data lakes, ad hoc analysis, operational reporting and exploration of large structured or semi-structured datasets.

Data lake foundations

Athena works with formats such as Parquet, ORC, JSON and CSV, while AWS Glue Data Catalog provides table definitions and metadata. Strong implementations organize S3 prefixes, partitions and schemas so queries remain understandable and efficient. Knowledge of IAM, encryption, workgroups and AWS cost controls is part of the wider skill set.

Analytics ecosystem

Amazon Athena connects with services and tools across the AWS analytics stack:

  • AWS Glue crawlers, Data Catalog and ETL workflows
  • Amazon S3 data lakes and Lake Formation permissions
  • Amazon QuickSight dashboards and BI reporting
  • JDBC or ODBC integrations for applications and notebooks
  • Apache Spark, Apache Iceberg and other table technologies

When expertise matters

Companies bring in freelance specialists when an S3 data lake needs a usable query layer, when slow scans raise costs, or when business teams need trusted reporting. They may also need help migrating from a warehouse, designing federated queries or connecting Athena with existing pipelines. In Berlin, remote delivery often works well, while on-site workshops can support data governance and stakeholder alignment.

Quality signals

A strong Amazon Athena professional designs schemas around real query patterns instead of treating S3 as an unstructured file store. They understand partition projection, columnar formats, compression, workgroup controls and query execution plans. They also document ownership, data quality checks and access rules so the solution can be operated after handover.

Choosing the right specialist

Look for experience with the complete path from source systems to dashboards, not only isolated SQL queries. Ask for examples involving Glue Catalog, Lake Formation, Iceberg or QuickSight when those components match your environment. Clear communication in English, and German where required for local teams, helps remote and on-site collaboration in Berlin stay productive.

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Frequently asked questions

Questions about Amazon Athena? Start with the answers below.

Amazon Athena is used to run SQL queries directly against data in Amazon S3 without managing database servers. Companies use it for data lake exploration, reporting, log analysis, federated queries and scheduled analytics.

Amazon Athena queries data in place, which can reduce infrastructure management and suit irregular analytical workloads. A managed warehouse may offer more predictable performance for frequent, highly concurrent queries and complex transformation workflows.

A strong Amazon Athena specialist usually understands Amazon S3, AWS Glue Data Catalog, IAM and Lake Formation. Experience with QuickSight, data pipelines, Apache Iceberg and infrastructure automation is valuable when the work extends beyond query design.

Amazon Athena work can be straightforward for a small reporting task, but production data lakes need deeper expertise. The specialist should be able to assess schemas, partitions, file formats, permissions, query costs and operational ownership before recommending an approach.

Yes. Amazon Athena projects are well suited to remote collaboration because the work is managed through AWS accounts, repositories and shared documentation. Berlin teams may still prefer on-site workshops for data ownership, security reviews or requirements involving German-speaking stakeholders.

Amazon Athena may be unsuitable when an application needs consistently low-latency transactions or intensive concurrent queries with strict performance targets. A specialist should compare it with a warehouse, relational database or another query engine based on workload, governance and operating requirements.

Ask how the specialist would choose file formats, partitions, table layouts and access controls for your data. A capable Amazon Athena professional explains trade-offs clearly, validates query plans, controls scan volume and leaves reproducible documentation rather than relying on trial and error.

Professionals working with Amazon Athena often collaborate across data engineering, security and analytics teams. Practical work may include SQL, Glue metadata, S3 layout, Lake Formation permissions, CI/CD and BI integration, so adjacent AWS knowledge can be as important as query syntax.

The average hourly rate of freelancers in Berlin, Germany who have used Amazon Athena in their recent projects is 94 €, which corresponds to a daily rate of about 754 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used Amazon Athena in their recent projects, 89% hold at least a Bachelor's degree, 33% hold at least a Master's degree, and 11% hold a doctorate.

On average, freelancers in Berlin, Germany who have used Amazon Athena in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.5 years.

The most common languages among freelancers in Berlin, Germany who have used Amazon Athena in their recent projects are English (100%), German (90%), and Hindi (30%).

The most common industries among freelancers in Berlin, Germany who have used Amazon Athena in their recent projects are Information Technology (80%), Automotive (40%), and Banking and Finance (40%).

The most common business areas among freelancers in Berlin, Germany who have used Amazon Athena in their recent projects are Information Technology (100%), Business Intelligence (90%), and Product Development (70%).

Main locations of FRATCH Experts, who have recently used Amazon Athena

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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