Google Cloud SQL Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Google Cloud SQL
Can Savastürk
Last position:
Platform Engineer at ClimateChoice
In a lean, execution-focused environment, I took ownership beyond a narrow engineering lane, shaping and implementing systems across backend, data, and infrastructure. Partnered directly with the three founders in a fast-moving, high-stakes environment, turning strategic priorities into concrete technical decisions and production outcomes.
- Owned core platform development across backend (Django/Rest Framework/Postgres), ETL (Python/Dagster), infrastructure (Terraform/Kubernetes/AWS), and frontend (typescript/react) for a climate-tech SaaS product, driving continuous cross-stack development across five repositories from October 2021 to this day.
- Architected and owned a standalone internal Python scoring framework for CRC assessments, using YAML-driven rules and metaprogramming to enable non-technical users to define complex evaluation logic without hardcoded implementations.
- Built and stabilized ETL and scraping pipelines using Dagster and Scrapfly, improving document ingestion, tagging, retry behavior, deployment flow, and operational resilience.
- Contributed to platform modernization and reliability through Django/Python upgrades, Postgres/RDS and EKS changes, CDN/TLS updates, test and performance improvements, and observability hardening.
- Drove backend engineering for product features, translating requirements into technical specifications, API contracts, data structures, and scalable implementation plans.
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Alexander Klein
Last position:
GCP DevSecOps Engineer at Leading global luxury goods company
- Extended a global large-scale project to improve the multi-tenant GCP data platform using FAST framework concepts, leveraging Terraform, Terraform Enterprise, and GitLab.
- Collaborated closely with security and governance teams to architect and implement secure and compliant GCP environments, focusing on VPC Service Controls, KMS, organizational structure, and guardrails to support the isolation of corporate entities.
- Enhanced the security posture of the enterprise GCP platform by implementing robust security measures, including GCP organization policies, deny policies, and VPC Service Controls to safeguard against potential exfiltration risks.
- Implemented controls based on CSA Cloud Controls Matrix (CCM v4) to secure the GCP cloud environment.
- Automated key components of the GitLab CI/CD pipeline by integrating OpenID Connect (OIDC) for workload identity federation, necessary for a large migration from GitHub.
- Implemented a YAML-based project factory to facilitate easy, secure, and governed provisioning of tenant projects, increasing speed, scalability, and usability while minimizing operational burden.
- Developed a dynamic approach for policy attachment to tenants using a YAML-based custom IAM template approach.
- Evaluated and implemented Google PAM (Privileged Access Manager) in a proof of concept for organization-wide just-in-time access.
- Set up CyberArk SCA and CEM tooling to ensure secure cloud access and provide visibility into the cloud environment.
- Handled GCP incidents, ensuring prompt resolution and operational stability.
- Authored and maintained extensive documentation within an Agile environment, utilizing Jira and Confluence for project tracking and knowledge management.
- Utilized HashiCorp Sentinel as a policy-as-code tool to shift-left cloud security by enforcing policies before infrastructure provisioning.
- Used Prisma Cloud to continuously monitor and secure GCP resources, ensuring compliance and risk mitigation across the organization.
- Developed a custom Org Policy Factory to standardize and automate custom governance across projects, ensuring enforcement of non-trivial organizational controls.
- Architected and built a cloud-agnostic credential lifecycle management platform with Python and GitLab to automate the secure handling of static credentials, improving governance, compliance, and audit readiness.
- Delivered an executive-level presentation on VPC Service Controls to C-level stakeholders, driving strategic awareness and alignment on cloud security posture.
- Led resolution of P1 incidents with high production impact, restoring services under critical time constraints.
- Architected and deployed a central monitoring and alerting solution using Cloud Monitoring and PromQL, providing real-time visibility into system health and proactive incident detection.
- Designed and developed a Python-based broker for self-service integration with an internal developer platform, streamlining onboarding and reducing manual effort.
- Implemented a templating approach for VPC Service Controls, enabling repeatable, secure, and consistent deployment patterns across tenants and environments.
Enzo Volkmann
Last position:
Independent Software Developer at Volkmann Design Code
- Self-employed work as a software developer
Satya Vulise
Last position:
Lead Developer at Allane Mobility Group
- Led development activities for enterprise applications, managing design, planning, and delivery to meet organizational goals.
- Constructed and deployed microservices using Java/JavaEE, Kotlin, Spring Boot, Kafka incorporating synchronous and asynchronous communication, achieving a 95% on-time delivery rate.
- Developed microservices in Golang utilizing frameworks such as Gin, GORM, and Viper for high-performance applications.
- Maintained RESTful and GraphQL APIs, enabling seamless integration with enterprise applications.
- Leveraged gRPC for secure, efficient service-to-service communication in microservices, reducing latency.
- Used SQL databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
- Integrated publisher-subscriber systems and message queue architectures (SQS, Kafka).
- Configured secure authentication and authorization systems (OAuth 2.0, OpenID Connect) using AWS Cognito and Spring Security.
- Architected scalable patterns like API Gateway, Circuit Breaker, Saga, CQRS, and Event Sourcing to enhance reliability and performance.
- Built middleware solutions integrating complex APIs and third-party services for seamless system interactions.
- Achieved cloud-native architectures with AWS services, including S3, EC2, Lambda, API Gateway, RDS, DynamoDB, SNS, SQS, EKS, ECR, and ECS.
- Delivered a centralized CI/CD pipeline, reducing deployment time by 80% through automation and standardization.
- Integrated observability tools such as Prometheus, Grafana, Datadog, and CloudWatch, improving monitoring and troubleshooting capabilities.
- Automated IaC provisioning with Terraform, ensuring consistent and scalable environments across development, testing, and production.
- Enhanced logging and visualization using the ELK stack (Elasticsearch, Logstash, Kibana).
- Optimized release processes, ensuring efficient and error-free deployments, resulting in a 30% reduction in production bugs.
- Lifted services to the cloud, transitioning legacy systems to a cloud environment to improve scalability and performance.
- Automated infrastructure tasks with Python, streamlining workflows such as S3 file uploads and SQS event handling.
- Crafted Python scripts to test AWS services locally using LocalStack, achieving 98% accuracy.
- Designed and architected large-scale, scalable enterprise applications, performing end-to-end, unit, and integration testing, reducing production bugs by 25%.
- Designed and developed web applications using Angular, HTML, CSS, and JavaScript.
- Integrated advanced security measures into the DevSecOps pipeline, including SAST with SonarQube, DAST using OWASP ZAP, vulnerability scanning with Snyk, container image scanning via Trivy.
- Mentored 5+ junior developers in Java, Kotlin, and microservices, boosting team productivity by 20% within six months.
- Facilitated workshops on modern architecture, DevOps, and cloud integration practices, enhancing team proficiency.
Jan Lüders
Last position:
Senior Developer at #Die.Digitalfabrik GmbH
- Languages: PHP7/8 (Shopware 5 & 6), Vue.js, Docker, Oracle, Apache, MongoDB (NoSQL)
- Infrastructure: ScaleCommerce (e-commerce cluster, container-based)
- Team: 3
- Development methodology: Kanban (Jira/Confluence)
- Planning and development of various client projects in an agency environment
Patrick Bartels
Last position:
Senior Backend Developer at stocubo GmbH
- Further development of the online shop
- Tech stack: Ruby on Rails, JavaScript, Postgres, AWS, Git, Continuous Deployment, Kubernetes, SLIM
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud SQL
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.9 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Manufacturing
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
80%
Master's degree or higher
20%
Certifications per freelancer
5
Most common languages
German, English, Spanish
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 Google Cloud SQL
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
Managed Cloud SQL
Google Cloud SQL is Google Cloud’s managed database service for MySQL, PostgreSQL, and SQL Server. It is used to run transactional systems without managing the database server stack. Teams choose it for web apps, internal tools, reporting workloads, and production services that need a reliable relational database.
Common work
- Set up new Cloud SQL instances and database users
- Migrate MySQL or PostgreSQL workloads into Google Cloud
- Tune slow queries, indexes, and connection settings
- Configure backups, replication, and failover paths
- Connect apps securely through private IP and IAM controls
Ecosystem
Strong specialists work across Google Cloud SQL, Cloud Storage, Cloud Monitoring, and Cloud Logging. They also know the source databases well, especially MySQL and PostgreSQL, plus tools for migration, schema changes, and application connectivity. In Germany, companies often want experts who can work smoothly with distributed teams and document changes clearly.
When to bring help
Bring in freelance expertise when a database migration is risky, an application is getting slower, or a production database needs a safer operating model. Cloud SQL work often appears in platform upgrades, cloud moves, recovery planning, and cleanup after years of growth. The best experts reduce downtime and keep the application team moving.
What good specialists do
Good Cloud SQL professionals understand backups, replication, permissions, connection pooling, and query plans. They can explain trade-offs between Cloud SQL and self-managed databases on Compute Engine, then choose the simpler path that still fits the workload. They leave behind clear runbooks, sensible defaults, and a setup the team can support.
Typical deliverables
A freelance Cloud SQL specialist may deliver:
- a migration plan with rollback steps
- a hardened database configuration
- performance fixes for slow queries
- backup, restore, and disaster recovery procedures
- handover notes for the operations team
Frequently asked questions
Questions about Google Cloud SQL? Start with the answers below.
Google Cloud SQL is used to run managed relational databases for applications that need MySQL, PostgreSQL, or SQL Server. It fits systems that need backups, maintenance, and high availability without running the database server yourself. Many companies use Cloud SQL for customer-facing apps, internal tools, and reporting backends.
Cloud SQL and Google Cloud SQL refer to the same managed service in Google Cloud. Searchers often shorten the name to Cloud SQL, especially when they already know the Google Cloud environment. In project discussions, both names are common and understood.
Google Cloud SQL removes a lot of operating work because Google manages patching, backups, and the database service layer. Self-managed databases on Compute Engine give more control, but they also demand more setup and day-to-day care. Many teams choose Cloud SQL when they want a cleaner operating model and fewer manual tasks.
A strong Cloud SQL specialist usually knows MySQL or PostgreSQL in depth, plus schema design, query tuning, and secure network setup. Google Cloud skills matter too, especially IAM, VPC networking, monitoring, and backup/restore workflows. For migrations, experience with data transfer tools and cutover planning is valuable.
The right level depends on the task, but Google Cloud SQL work often needs someone who has already handled production databases. Basic setup is one thing; migrations, replication, and performance issues need deeper judgment. If downtime is sensitive, choose a specialist with hands-on migration and recovery work.
Yes, most Cloud SQL work can be done remotely because the main tasks are configuration, migration planning, and application/database coordination. For teams in Germany, remote work is common when access, approvals, and communication are clear. On-site time only becomes useful when there is a tight cutover, local workshop, or a complex stakeholder process.
Ask for examples of migrations, backup design, performance tuning, and incident handling with Google Cloud SQL. Good answers should mention the source database, the application impact, and how they reduced risk. Clear runbooks, sensible testing, and careful cutover planning are strong signs of quality.
Cloud SQL is a strong choice when you want a managed relational database that fits standard application patterns and does not need deep platform customization. If the workload needs advanced control, unusual extensions, or very specific architecture choices, another option may fit better. A good specialist will compare the trade-offs instead of forcing Cloud SQL into every case.
The average hourly rate of freelancers in Germany who have used Google Cloud SQL in their recent projects is 87 €, which corresponds to a daily rate of about 696 € based on an 8-hour working day.
Of the freelancers in Germany who have used Google Cloud SQL in their recent projects, 80% hold at least a Bachelor's degree and 20% hold at least a Master's degree.
On average, freelancers in Germany who have used Google Cloud SQL in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Google Cloud SQL in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Germany who have used Google Cloud SQL in their recent projects are Information Technology (100%), Automotive (43%), and Manufacturing (43%).
The most common business areas among freelancers in Germany who have used Google Cloud SQL in their recent projects are Information Technology (100%), Product Development (100%), and Operations (43%).
Main locations of FRATCH Experts, who have recently used Google Cloud SQL
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
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Philipp Thomaschewski
FRATCH CEO
