Sybase Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Sybase
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
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.
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Kabir Khaleque
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
Sven Koebnick
Last position:
Generalist System Administrator at Enbw
- Automation of the (Linux-based) web landscape maintenance.
- Use of SALT, SuseManager, Wildfly, scripting and Kubernetes.
- DevOps tasks and use of Jira.
- Management of "special" applications as well as creating and helping with concepts.
- Focus on security, maintainability, integration and tooling/integration.
Christos Poulkas
Last position:
Product management for the case handling system at Federal Criminal Police Office (BKA)
- Technical translation of customer requirements into actionable solutions
- Support for technical aspects of product development
- Analysis of technically complex processes
- Support during test execution
- Close collaboration and coordination with the vendor
Andreas Schenk
Last position:
Project Management, Development and Test- (Defect-) Management at safarica.com
- Creation and implementation of a multilingual, relational MariaDB database to reflect the requirements of a booking system designed for safaris in Africa
- Testing the front- and backend functionality, registration of clients and suppliers, the editorial system and the payment workflow
- Defect management and documentation via BugHerd
- Implementation of an automatic internal deployment of deliveries provided by an external company via bash scripts
- Coordination of external companies in the function of a project manager (Stakeholder Management)
Jerry Fonou
Last position:
IT Requirements and Test Management in S/4 HANA Implementation Project at Q_PERIOR AG
- Create functional concepts for implementing applications
- Coordinate tests
- Create and execute test cases
- Create test reports
Petru Kisalita
Last position:
Architect & Technical Team Lead & Senior Developer at Goetel GmbH
- Design, architecture & development/programming of ETL/ELT data pipelines, DWH, BI solution
- Technical project lead, POC – proof-of-concept creation
- Liaison between business units and technical teams
- Azure DevOps Boards & Jira
- Data modeling & data engineering – data warehouse & data mart
- Azure (Data Factory, Azure SQL, Azure DevOps CI/CD, Azure Data Lake V2, Business Central REST API, OData API, OAuth2 tokens)
- SharePoint lists & API for ADF, Firebird DB, Postgres DB, DB2
- Power BI (Power Query), DAX, Excel PBI add-on, GIS data
- Automated ETL process monitoring/logging, performance monitoring, error monitoring – capturing & resolution
- Index performance tuning & statistics monitoring, Transact-SQL
- Data security – MFA (multi-factor authentication) & OAuth2, MS Graph, Azure networks & firewalls, gateways, roles, user groups – with read/write permissions
- Sources – Vario Bill, Camunda, Radius, Geo Database, OTRS, PAST, MS Dynamics Business Central, Azure Blob Data Lake, SharePoint lists
Jin Tu
Last position:
Test Automation Engineer at NetCologne GmbH
- Create and execute regression test cases with TOSCA
- Train internal staff in using TOSCA
- Tools: Siebel CRM, Oracle PL/SQL Developer, TestRail
Discover over 15,000 top freelancers
Statistics of experts using Sybase
Aggregated from the professional profiles of matched freelancers.
Experience
26 years (Germany: 29 years)
Position duration
2.1 years (Germany: 3.4 years)
Positions per freelancer
21 (Germany: 20)
Top business areas
Information Technology, Quality Assurance, Product Development
Top industries
Banking and Finance, Information Technology, Retail
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
70% (Germany: 68%)
Master's degree or higher
50% (Germany: 52%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Frankfurt 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 Frankfurt using Sybase
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
SAP Sybase support
Sybase is still used for core business data, especially in older enterprise systems that need steady performance and careful change control. Many teams mean SAP Sybase, Adaptive Server Enterprise, or ASE when they search for help. Skilled experts keep these systems running, secure, and ready for daily operations.
Typical work
- Database administration and health checks
- Query tuning and index review
- Backup, restore, and disaster recovery setup
- Upgrade support and version planning
- Data migration and interface cleanup
Strong professionals work on the parts that matter most: availability, data integrity, and predictable response times.
Tooling and ecosystem
Sybase work often includes ASE, SQL Anywhere, Replication Server, and Open Client. Experts also work with SQL, stored procedures, shell scripts, job scheduling, and monitoring tools around the database stack. In Frankfurt, this skill is often relevant for finance, logistics, and other data-heavy environments with long-lived systems.
When to bring in help
Companies usually need freelance Sybase experts when a system is old, undocumented, or tied to a critical release. Common triggers are slow queries, failed upgrades, replication issues, or a move to a new database while keeping the old one stable. A good specialist can join remotely or on site, depending on access and security rules.
What strong experts do
They read execution plans, understand locking and transaction behavior, and know how to work safely in production. They also document changes clearly, coordinate with infrastructure teams, and avoid risky shortcuts. For SAP Sybase projects, practical experience with live systems matters more than theory.
Search terms and fit
People may search for Sybase, SAP Sybase, ASE, or Adaptive Server Enterprise. The right expert can support legacy applications, reporting databases, or migration projects without disrupting the business. If your team in Frankfurt needs fast support, look for someone who has worked with real production databases and can explain trade-offs clearly.
Frequently asked questions
Questions about Sybase? Start with the answers below.
Sybase is used for transactional databases, reporting systems, and older enterprise applications that still run core business processes. In many companies, that means SAP Sybase ASE or SQL Anywhere sits behind finance, operations, or internal workflow tools. A strong freelancer should know how to keep those systems stable and easy to maintain.
In practice, people often use SAP Sybase and Sybase to mean the same family of products. The most common names you will see are Adaptive Server Enterprise, or ASE, and SQL Anywhere. A good specialist should understand which product is actually in use before making changes.
Sybase is often chosen for existing systems rather than new greenfield projects, especially where the database has been tuned over many years. Compared with Oracle or SQL Server, the main challenge is usually not feature parity but safe maintenance and migration planning. The best expert knows how to work within the current setup and keep risk low.
A strong Sybase specialist usually knows SQL very well, plus backup and recovery, performance tuning, and scripting for operations tasks. Experience with replication, interfaces, and Unix or Linux environments is also useful. For migration work, knowledge of target databases and data validation helps a lot.
Sybase projects often need outside help as soon as there is production risk, limited documentation, or a deadline tied to a release or migration. You do not need a full team if the task is focused, such as tuning one workload or fixing a failed upgrade. One experienced specialist can often unblock the work quickly.
Most Sybase work can be done remotely if the company can provide secure access and a clear change process. On-site help can still be useful in Frankfurt for sensitive systems, production cutovers, or teams that prefer direct coordination. The right setup depends on your access rules and support model.
Look for someone who can explain what they changed, why they changed it, and how they reduced risk. A strong Sybase expert should be able to discuss locking, indexing, backups, recovery, and migration steps in plain language. Clear documentation and calm production handling matter as much as technical depth.
If queries are getting slower, upgrades feel risky, or only one person understands the system, Sybase support is probably overdue. Missing documentation, repeated job failures, and replication problems are also common warning signs. The best time to bring in help is before a small issue becomes a production incident.
The average hourly rate of freelancers in Frankfurt, Germany who have used Sybase in their recent projects is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Sybase in their recent projects, 70% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Sybase in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Sybase in their recent projects are German (100%), English (100%), and French (40%).
The most common industries among freelancers in Frankfurt, Germany who have used Sybase in their recent projects are Banking and Finance (100%), Information Technology (80%), and Retail (60%).
The most common business areas among freelancers in Frankfurt, Germany who have used Sybase in their recent projects are Information Technology (100%), Quality Assurance (100%), and Product Development (80%).
Main locations of FRATCH Experts, who have recently used Sybase
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.
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Hamburg
Munich