Batch Processing Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Batch Processing
Collin Kempkes
Last position:
Lead Fullstack Developer at Freelance
- Development of cloud native applications to provide a multi-vendor marketplace for different digital assets (e.g. NFTs)
- Design and operation of a microservice architecture using Nest.js, MySQL, Redis, Hasura, Algolia, Docker and Serverless
- Design and operation of a streaming data architecture using Kafka (with JSON Schemas)
- Creation of CI/CD pipelines with GitHub Actions for automated deployment of applications
- Testing and evaluating new technologies for more stable, faster, safer and more sustainable application development
- Building the full infrastructure with Terraform in AWS
- Integration of Stripe to handle international payments
- Use of Algolia for real-time search of digital assets on the platform
- Presenting results to stakeholders and running internal meetups
- Federation of services with GraphQL and Hasura
- Discussions about architecture decisions in the IT landscape and their impact
- Use of message queues for app-internal communication and component encapsulation
- Advising internal staff on the implementation of business and technical requirements
- Test Driven Development: unit, integration and E2E testing using JUnit
- Use of Next.js/React with SASS/SCSS for frontend applications
- Use of Vue.js with SASS/SCSS for frontend applications
- Integration of security-related mechanisms (JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA, secret vaults)
- Creation of microfrontends using Retool for fast prototyping and testing of functionality
- Use of nx monorepo with nrwl
Priyanka Sarang
Last position:
Business Consultant (Software Engineering) at Boehringer Ingelheim
- Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
- Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
- Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
- Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
- Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
- Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
- Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
- Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
- Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery
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.
Norbert Gunia
Last position:
Support for implementing the Pimcore CMS as well as support assistance and partner management at Akademisch Arbeitsgemeinschaft GmbH
- Support for implementing the Pimcore CMS, support assistance, and partner management for the existing application landscape.
- Know-how transfer to the existing application landscape.
- Advising stakeholders on the new implementation.
- Support in data modeling for Pimcore.
- Designing and overseeing data migrations from Salesforce to Pimcore using ESB.
- Creating user stories.
- 3rd level support for business-critical processes.
- Technologies: Salesforce Marketing, Sales, and Service Cloud; Talend ESB; Pimcore; Shopware; ERP system Move; DB2; MySQL; MS Office; MS Visio; Jira; Confluence.
Vladimir Ergovic
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Robert Di Marco
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and embedding in a solid testing strategy
- Team: small specialized team (3-5 people) from analysis to implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
Sara Zarei
Last position:
Data Analyst / Analytics Engineer at IDG Tech Media GmbH
- Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
- Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
- Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
- Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
- Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.
Tobias Hofbauer
Last position:
Senior Java Web Developer at Deutsche Bahn
- Cloud-based Enterprise Service Bus/middleware development for communication between internal applications using Spring Boot and Apache Camel
- Use of AWS cloud computing technologies (e.g., EKS, EC2, S3)
- Development and configuration of modular base and adapter microservices with Camel DSL routing logic
- Designing interfaces and connecting via JMS (ActiveMQ, WebSphere MQ), REST, and SOAP
- Development of unit and integration tests
- Technical support for clients during requirement gathering
Anusha Ramanan
Last position:
Full-time parenting (Career Break) at Full-time parenting (Career Break)
Florian Knopf
Last position:
Senior Fullstack Developer — GIS & Cloud at EnBW
- Automated decentralized manual planning of power grid construction projects using a cloud-native GIS platform integrating geodata analysis, infrastructure planning, and cost estimation
- Designed a cloud-native multi-language architecture with Azure Cloud Functions
- Integrated ArcGIS/Vertigis and developed JavaScript-based Vertigis workflows for interactive GIS planning tools
- Developed Python-based cloud functions to automate analysis of complex geodata sets
- Implemented specialized algorithms for power grid topologies and construction planning with Shapely and GeoPandas
- Built interfaces between GIS platforms and existing planning systems with uniform API conventions, consistent response structures, and error handling
- Set up a Pytest unit test pipeline and automated CI/CD processes using Azure Pipelines
- Optimized performance of geospatial calculation algorithms for large datasets
Saood Yousaf
Last position:
Senior Application Owner at an international energy company
Further development of the application landscape for planning, forecasting and pricing
Communication with internal stakeholders to homogenize the application landscape across all entities
Optimization of vendor management
API and batch processing
Creation of operational concepts
Ensuring compliance with regulations and operational processes
Participation in solution design as well as implementation and further development of new applications and services
ServiceNow
Virtual Machines (Windows / Linux)
M365 Products
Azure DevOps
Web Applications
Vishali Thangalapally
Last position:
Senior Analyst at Accenture
- Facilitated data retrieval for first-assist applications through an interface that fetches content based on client input criteria and loads it into the database via batch processing.
Funda Toprakci
Last position:
Senior Business Consultant at Bethmann Bank AG
Ad-hoc support in settlement for derivatives
Settlement of ETD (futures & options), OTC (DTGs), give-up/take-up etc.
Position and account reconciliation
Coordination with trading, Eurex, UBS AG and asset management
New setup of classes for options and series
Support of the Securities & Operations unit for EMIR REFIT
Advisory for project management of EMIR REFIT and support for implementation
Communication and coordination with the software vendor to clarify business issues
Main responsibility for creating the test concept for go-live on 29.04.2024 (Phase I) and bug fixes/cleanup actions (Phase II)
Active support during go-live: creation of transaction, valuation and collateral reports; migration of the position report; defect management and bug fixing
Inventory of cleanup Phase II
Business test case creation for EMIR REFIT functionalities and coordination with IT teams and the business unit
Creation and updating of training documents and work instructions for OBS modules WPS and GDH
Umar Maqsud
Last position:
Senior AI Architect & Engineer at Freelancer / Self-employed
- Consulting, design, and architecture of SaaS platforms with a focus on automation, data analytics, and cloud deployment
- Defining the target architecture and managing the entire development lifecycle from implementation to production operation, including stakeholder alignment
- Designing, architecting, and implementing a multi-tenant SaaS platform
- Building scalable data and machine learning pipelines (batch & streaming) for order and business data
- Developing AI models for data analysis (KPI calculations, forecasts) and integrating them into data pipelines
- AI-driven processing of customer inquiries (delivery status, invoices, cancellations, complaints) to automate customer service
- Developing APIs, microservices, and dashboards with Python for data-driven applications
- Cloud deployment on AWS and infrastructure-as-code automation with Terraform; containerization with Docker and Kubernetes
- Setting up CI/CD pipelines for automated deployments with GitLab CI and governance of deployment processes
- Implementing monitoring dashboards with Grafana to monitor services and ML pipelines
- Implementing security and compliance requirements (GDPR-compliant data handling, logging), including identity & access management and role-based access control
Ahsan Javed
Last position:
Data Analytics Developer at Level Next Productions
- Built Power BI dashboards and enabled data-driven strategies across digital platforms
Discover over 15,000 top freelancers
Statistics of experts using Batch Processing
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.4 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Project Management, Research and Development
Bachelor's degree or higher
93%
Master's degree or higher
67%
Doctorate
7%
Certifications per freelancer
4
Most common languages
German, English, Telugu
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 Batch Processing
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
What it covers
Batch processing handles work that does not need immediate user response. It is used for payroll runs, invoice generation, file imports, report creation, reconciliation, and data movement between systems. Strong specialists know how to keep jobs predictable, restartable, and easy to monitor.
Common tools
- Spring Batch for structured Java batch jobs
- Control-M, Autosys, or similar schedulers
- ETL and ELT pipelines for large data sets
- Mainframe batch jobs and legacy job chains
- Logging, alerting, and retry handling
When to bring help
Companies usually bring in freelance expertise when a batch flow is slow, fails in production, or needs a clean redesign. That also happens during migration from legacy job control to newer orchestration tools, or when teams need support for a complex go-live. In Germany, remote work is common, but on-site help can matter for sensitive systems and close coordination with operations.
What good specialists do
A strong professional thinks in dependencies, failure modes, and recovery steps. They write clear job logic, manage idempotency, and reduce manual intervention. They also document schedules, input and output contracts, and operational runbooks so support teams can keep the system stable.
Typical deliverables
- Batch job design and implementation
- Scheduler setup and job chaining
- Data validation and reconciliation logic
- Migration from legacy batch processes
- Performance tuning and incident fixes
What to look for
Look for specialists who understand the full lifecycle of a batch run, from source file arrival to audit trail. Experience with batch processing, batch jobs, and Spring Batch is useful, but so is practical knowledge of databases, messaging, shell scripting, and operations. The best experts make the flow simpler, safer, and easier to support.
Frequently asked questions
Before you brief your next project: the most common questions about Batch Processing.
Batch processing is used for work that can run on a schedule or after an event, not in an interactive screen. Typical examples are payroll, billing, report generation, imports, and overnight data synchronization. It is a good fit when completeness and repeatability matter more than instant response.
Batch processing groups work and executes it later, while real-time processing reacts immediately to each request or event. Teams choose batch jobs when they need predictable windows, lower operational overhead, or heavy calculations over large data sets. Real-time systems are better when users need immediate feedback or continuous updates.
A strong Batch processing specialist usually brings scheduler knowledge, database skills, scripting, and solid debugging habits. In many projects, that also includes Spring Batch, ETL tools, file handling, and operational monitoring. If the system is older, mainframe or legacy job-control experience can be important too.
Companies often need batch jobs expertise when nightly runs start failing, when data volumes grow, or when a legacy flow must be modernized. Freelancers are also useful for short migration phases, production incidents, and tuning work that the internal team cannot fit in. The best time to engage help is before a broken schedule affects downstream systems.
Spring Batch is a framework for building batch processing in Java, but it is not the whole discipline. Batch processing also covers scheduling, restart strategies, file flows, database work, monitoring, and operations. A good specialist knows when Spring Batch fits and when a lighter or different approach is better.
Yes, Batch Processing work is often done remotely, especially when the environment, logs, and job definitions are accessible. For teams in Germany, remote collaboration works well for design, implementation, and troubleshooting. On-site time can still help when access is restricted or when deep coordination with operations is needed.
Look for clear examples of stable jobs, clean restart logic, and careful handling of edge cases. A strong batch processing freelancer can explain dependencies, failure recovery, and how they reduce manual support work. Good signs are readable code, solid logging, and documentation that operations teams can actually use.
The main alternatives to batch jobs are event-driven processing, streaming, and API-based workflows. Those are better when the business needs immediate reaction or continuous data flow. Batch remains the right choice when the work is heavy, periodic, or easier to control in scheduled windows.
The average hourly rate of freelancers in Germany who have used Batch Processing in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.
Of the freelancers in Germany who have used Batch Processing in their recent projects, 93% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Germany who have used Batch Processing in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Batch Processing in their recent projects are German (100%), English (100%), and Telugu (11%).
The most common industries among freelancers in Germany who have used Batch Processing in their recent projects are Information Technology (94%), Banking and Finance (61%), and Government and Administration (39%).
The most common business areas among freelancers in Germany who have used Batch Processing in their recent projects are Information Technology (100%), Product Development (67%), and Business Intelligence (56%).
Main locations of FRATCH Experts, who have recently used Batch Processing
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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