Amazon QuickSight Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Amazon QuickSight
Anshita Srivastava
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Suyash Shaha
Last position:
Data Analyst - Reporting & Analytics at SIXT SE
- Developed & maintained customer analytical reporting solutions to identify revenue trends, performance drivers, risks & optimization opportunities to ensure data driven decision making across Sales, Finance, Product, Data Engineering & Controlling.
- Defined & analyzed customer trends & performance metrics to identify root causes behind variances, anomalies & emerging risks across business domains to deliver actionable recommendations.
- Developed & owned analytical data models & reporting layers to ensure scalability, performance & analytical robustness to support executive & operational reporting across business domains.
- Planned, tracked & executed projects by ensuring adherence to timelines, data accuracy, consistency, deliverables, reliability & data quality standards through rigorous validation & reconciliation processes.
- Raised the analytical maturity by formalizing analytical workflows, documenting data processes & standard operating procedures (SOPs) & conducting training sessions to drive adoption of self-service analytics & embed a data driven culture across operational and business teams.
- Took ownership of the end-to-end lifecycle roadmap from requirement gathering, collection, transformation, developing robust business logics to data storytelling & stakeholder delivery.
- Converted complexity into structured clarity by translating requirements & business processes into analytical recommendations to ensure alignment between non-technical & technical stakeholders.
- Conducted advanced SQL based analysis of complex business datasets to uncover trends, correlations & performance improvement opportunities.
- Drove process automation & efficiency improvements by leveraging Python, SQL optimization & AI assisted tools to reduce processing time & increase reliability across analytical & operational workflows.
- Standardized KPI definitions & reporting logic to ensure consistency & trust across reporting solutions.
- Developed process monitoring dashboards & analyses to identify inefficiencies, bottlenecks & compliance deviations across end-to-end business processes to derive actionable recommendations for process improvement & automation.
Imane Habitou
Last position:
Assistant Manager People insights/Intelligence at adidas HQ
- Collected, analysed, and interpreted HR data from multiple systems
- Conducted ad-hoc people data analyses for stakeholders
- Supported Employee Listening and ensured actionable survey insights
- Built intuitive dashboards and visualizations in SuccessFactors, PowerBI, and Qualtrics
- Produced regular reports and dashboards on key HR metrics
- Contributed to people analytics projects as a junior team member
- Collaborated with HR Tech and Data teams to improve data quality
- Ensured ethical and governed data use with Legal, Data Privacy, Labour Relations and Works Council
Ulm Paunel
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Salvation Omorodion
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.
Bidya Bibhu
Last position:
Global Lead (Product) – Payments Platform (Risk & Data Products) at Chargebee
- Own strategy and roadmap for the payment orchestration and risk intelligence products serving enterprise subscription customers.
- Conduct deep workflow discovery and user interviews to redesign onboarding experience, resulting in 5× funnel throughput and 70% reduction in manual steps.
- Define PRDs for scalable data pipelines, fraud signals, and automation logic, improving insight accuracy and speed of decision-making by 30%.
- Partner with engineering, data, design, and security to ship 15+ enterprise features with 100% successful release quality.
- Introduce risk analytics dashboards and performance KPIs, reducing investigation time by 40% and improving visibility across teams.
- Lead prioritization of new capabilities, tech debt, and security initiatives (PCI DSS, access controls, auditability).
- Lead development of ML-based fraud detection models (regression, decision trees) to identify high-risk transactions, reducing chargebacks by 20%.
- Design end-to-end analytics dashboards (Tableau, Redshift) to visualise global risk exposure, cutting onboarding SLA from 2.4 days to 3 minutes.
- Partner with engineering and data teams to deploy scalable payment risk frameworks, enhancing compliance visibility and decision speed.
- Mentor analysts and data scientists through agile sprint cycles, embedding a data-driven culture across risk operations.
Srijan Manish
Last position:
Senior Product Manager – Revenue Management at SIXT SE
- Built and scaled a data-science price engine across 8 EU markets, lifting fleet margin by ~2% on a €1.5B+ base
- Launched a generative-AI insights platform in 29 countries, cutting manual analysis by ~40% and driving weekly actions
- Led a hybrid team and aligned 100+ stakeholders to refine pricing logic and accelerate rollout across regions
- Set up KPI governance with WBR/MBR rhythms, reducing decision latency by ~30% across European pricing teams
Benito Exner
Last position:
Cloud DevOps Engineer at E.ON Se (Syna GmbH)
Developed and implemented an operating concept
Created and executed a migration plan
Automated administrative tasks in on-premises environments
Provided 3rd-level support
Created documentation (Confluence) and managed tasks (Jira) using agile Scrum methods
Implemented and monitored disaster recovery plans and backup strategy in Azure
Planned and carried out software and system upgrades
Advised on selecting and implementing new technologies and tools
Trained employees on new technologies and processes
Conducted code reviews to ensure quality and adherence to best practices
Advised the Product Owner and other stakeholders on developing and refining solution approaches and concepts
Responsible for the stable operation of a hybrid on-premises/Azure environment in a highly regulated setting (critical infrastructure)
Worked closely with business units, IT security, and external service providers to align operational and migration concepts
Designed and executed the migration of central on-premises systems to a hybrid Azure environment (including landing zone, network segmentation, backup, and disaster recovery strategy), establishing the technical foundation for future cloud governance in the KRITIS sector
Introduced Ansible & AWX to fully automate formerly manual operational documentation
Result: Replaced over 100 operation manuals, reduced operational effort by 80%, and created a sustainable foundation for scalable operational processes
Abhishek Kanakagiri
Last position:
Solana Offline Transaction Webapp
- Built a decentralized app using Next.js and Convex DB for secure offline Solana transaction signing.
Leonard Hußke
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Roman Krivtsov
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Tarik Hennings
Last position:
Technical Product / Digital Asset Owner at Sodexo Pass & Benefit Services
- Migration of 3 DE/AT payment iOS/Android apps and web portal to global solution
- Performed a fit gap analysis for 6 consumer apps vs. global solution
- Managed the migration project to global CWC solution, developed end-to-end tests for backend systems, Pi Planning, release planning
Pappu Prasad
Last position:
Senior Cloud Consultant (AWS Services and Consulting) at devoteam GmbH
- Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
- Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
- Optimized cloud costs by introducing FinOps practices and increased transparency for business units
- Monitored performance, performed root cause analyses, and ensured adherence to SLAs
- Supported data and solution architects in building scalable data models for ML and analytics scenarios
Ilian Sapundshiev
Last position:
Project Manager at AutoScout24 GmbH
- Successfully migrated over 150 BI dashboards (Jira, Microstrategy, AWS QuickSight) as project lead of 4 developers, ensuring a smooth transition and maintaining data integrity.
Karthikeyan A
Last position:
Cryptocurrency Price Prediction using Machine Learning Algorithms
- Designed, implemented, and evaluated multiple machine learning models (e.g., regression, time series, neural networks) to forecast cryptocurrency prices, incorporating data preprocessing, feature engineering, and model optimization for improved predictive accuracy.
- Performed in-depth data exploration and visualization on large cryptocurrency datasets, using tools like Python and libraries such as Pandas and Matplotlib to identify trends and patterns.
Discover over 15,000 top freelancers
Statistics of experts using Amazon QuickSight
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.8 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
86%
Certifications per freelancer
3
Most common languages
German, English, Hindi
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 Germany 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 Germany using Amazon QuickSight
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
QuickSight dashboards
Amazon QuickSight is AWS’s cloud BI service for dashboards, self-service analysis, and embedded analytics. Companies use it to turn data from S3, Athena, Redshift, RDS, and other sources into clear views for teams, clients, and leaders. Strong specialists make the reporting layer useful, fast, and easy to trust.
Where it fits
- Executive dashboards and KPI views
- Customer-facing analytics embedded in apps
- Operational reporting across AWS data stores
- Ad hoc analysis for business teams
- Scheduled reports and alerts
Core skills
Good Amazon QuickSight specialists know dataset design, calculated fields, filters, parameters, and permissions. They also understand SPICE, direct queries, refresh logic, and how to model data so charts stay responsive. For Germany-based teams, they often work with English business users while aligning with local reporting needs.
Integrations
QuickSight rarely stands alone. It is often paired with Athena for SQL over S3, Redshift for warehouse reporting, Lake Formation for access control, and IAM for secure permissions. Strong experts also know how to shape data upstream so dashboards stay simple and maintainable.
When to bring help
Bring in freelance support when a dashboard is slow, the data model is messy, or embedded analytics must work in production. Companies also look for help when row-level security, multi-source reporting, or migration from Tableau or Power BI becomes hard to manage. A seasoned specialist can stabilize the setup and keep it clear.
Strong delivery
The best professionals focus on usable outputs, not just visuals. They document sources, naming, refresh rules, and permission logic, then leave behind dashboards that business users can understand without help. With Amazon QuickSight, that discipline matters more than flashy charts.
Frequently asked questions
Curious about Amazon QuickSight? Here are the answers that come up again and again.
Amazon QuickSight is used for cloud dashboards, ad hoc analysis, and embedded analytics on AWS. Teams use it to turn data from sources like Athena, Redshift, and S3 into views that people can read and act on.
QuickSight is usually chosen when the stack is already on AWS and the team wants tight integration with AWS data and security services. Tableau and Power BI may offer broader desktop-centric workflows, while QuickSight is often simpler for cloud-native reporting and embedded use cases.
A strong Amazon QuickSight specialist usually also knows SQL, data modeling, and AWS services such as Athena, Redshift, S3, and IAM. Knowledge of permissions, ETL patterns, and dashboard design helps them deliver reports that are both secure and usable.
A small reporting task may only need a specialist who has built a few dashboards and understands the data sources involved. For embedded analytics, row-level security, or complex refresh logic, you want someone who has shipped full QuickSight setups before.
Yes. AWS QuickSight work is often remote because most tasks involve cloud access, shared data models, and review of dashboard requirements. In Germany, the main need is usually clear communication with business users and agreement on the language used in the reports.
Look for clear examples of dashboard design, secure access handling, and clean data preparation. A good Amazon QuickSight professional explains why they chose SPICE or direct queries, how refreshes work, and how users will maintain the reports later.
If dashboards load slowly, the same metric appears in different ways, or users do not trust the numbers, you likely need help. QuickSight specialists are also useful when teams cannot get row-level security, embedded analytics, or permissions to behave as expected.
Yes, Amazon QuickSight is often used to embed dashboards inside internal tools or customer-facing apps. The key is careful setup of access control, data refresh, and the user experience so the analytics feel native and stay secure.
The average hourly rate of freelancers in Germany who have used Amazon QuickSight in their recent projects is 86 €, which corresponds to a daily rate of about 686 € based on an 8-hour working day.
Of the freelancers in Germany who have used Amazon QuickSight in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Germany who have used Amazon QuickSight in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used Amazon QuickSight in their recent projects are German (100%), English (100%), and Hindi (25%).
The most common industries among freelancers in Germany who have used Amazon QuickSight in their recent projects are Information Technology (94%), Professional Services (44%), and Automotive (38%).
The most common business areas among freelancers in Germany who have used Amazon QuickSight in their recent projects are Information Technology (100%), Business Intelligence (94%), and Product Development (63%).
Main locations of FRATCH Experts, who have recently used Amazon QuickSight
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
