Amazon S3 Experts in Frankfurt

• Error analysis and fixes including performance optimization of the in-house developed platform API
• Change and incident management in day-to-day operations
• Responsible for compliance with security and compliance requirements
• Vendor management for software development and maintenance
• Planning and execution of migration of legacy services to a cloud native platform

Role in the project: project staff, implementation team

Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management

Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)

• 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.

• Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
• Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
• Continuous development and optimization of reporting structures with a focus on scalability and data quality
• Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
• Designing and managing end-to-end data flows from data collection to visualization
• Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery

• Main developer in an online retail company
• Built an online shop using the Next.JS React framework
• Integrated the site with dozens of third-party apps using REST and GraphQL APIs
• Built a backend for order management, warehouse management (with iPhone app), and supply management
• Automated invoicing and finances with QuickBooks

• 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.

• Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
• Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
• Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
• Managed Service Principals and authentication tokens for secure REST API integrations

• Linux server migrations: planning and execution of the migration with SLES Linux deployment of VMs in VMware 8.0
• Guiding colleagues on configuring Linux VMs with vSphere Auto Deploy
• Application operations: ensuring smooth operation of applications on migrated servers
• Operations manuals: revising existing manuals, updating and creating new ones as needed
• Reviewing service offers: adjusting and optimizing service offerings of external providers
• Logistics software, Red Hat Linux, Ansible, Confluence / Jira

• The replacement of the existing archive system (document management system – DMS) on a host-based platform is well advanced.

• The internal audit is meant to ensure the company's quality standards.

• GDPR

• ISO 27001 ff.

• BSI

• DORA

• Patient data regulations

• Host / Cloud / S3 / Container / highly scalable / Nuxeo

• Budget: 50,000

• Team: 1

• Working for customer and internal projects ranging from B2C, B2B applications
• Development and maintenance of customer-facing and internal applications across B2C and B2B domains
• Responsibility for technical direction, architectural decisions and code quality standards
• Design and implementation of scalable application architectures, including modular frontend and service-oriented backend structures
• Conceptual planning and technical execution of the agency website relaunch in Angular
• Rapid prototyping and MVP development for B2B customer projects in the pharmaceutical sector with Vue.js
• Creation of first MVPs for 3D rendering–based products, including real-time visualization and interactive experiences
• Strong UX/UI expertise with a focus on gamification, user engagement and conversion-driven interfaces
• Close collaboration with product management, design and stakeholders to translate business requirements into technical solutions
• Agile software development using Scrum, including sprint planning, reviews and retrospectives, supported by Azure DevOps
• Full-stack development using React, Angular, TypeScript, Vue.js, HTML5, CSS3/SCSS, C#, .NET, Node.js, RESTful APIs, Unity, Azure DevOps, Git and CI/CD pipelines

• Manage end-to-end delivery of software projects across healthcare, gaming, and communication domains.
• Serve as Project Manager, Product Owner, and Scrum Master for multiple Agile teams.
• Oversee scope definition, sprint execution, and delivery tracking using Jira and Confluence.
• Design technical architectures and API strategies integrating Twilio, CRMs, and VoIP systems.
• Lead AI/ML projects implementing recommendation engines and automation workflows.
• Support pre-sales with effort estimation, technical documentation, and proposal reviews.

• 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

• Implementation of complex Azure resources using Terraform IaC and Azure DevSecOps pipelines with network security and zero-trust governance policies

• Optimization of the existing network design, firewall and database migration

• Implementation of governance and network policies as Policy as Code (PaC)

• Establishment of company-wide Azure connectivity using Azure VPN as an IPSec tunnel

• Implementation of hybrid on-premises multi-cloud connectivity (GCP, Azure) using Terraform

• Development of Azure Functions for scheduled cron jobs and Service Bus message queuing with topics

• Optimization of messaging with Service Bus premium features and IP whitelisting

• Stakeholder management, customer communication and creation of Architectural Decision Records (ADR)

• Responsible for cost-efficient quick wins in Azure and on-premises systems

• Consulting and implementation of functional test requirements
• Responsibility for and validation of test automation solutions in an agile team
• Support for QA topics during weekly release tests
• Creating test cases using Gherkin
• Developing automated tests with Cucumber and Playwright
• Specifying and maintaining automated and manual tests

Technologies used:

• Confluence
• Jira
• Cucumber
• Playwright
• Typescript
• Java
• Git

• Practice-oriented coaching on core aspects of data science
• Teaching advanced concepts in Python as well as automation (with Make and n8n) and ETL processes with Apache Airflow
• Weekly preparation and delivery of practice-oriented programming courses using real-world examples
• Promoting practical programming skills among participants through interactive exercises and individual support
• Developing didactic materials and adapting content to participants' skill levels
• Close collaboration with the team for continuous improvement of course quality and learning outcomes