04.03.2026 aktualisiert


Premiumkunde
100 % verfügbarSenior Database Consultant | AWS Azure Cloud Architect | DevOps
Furstenfeldbruck, Deutschland
Weltweit
Bachelor of Engineering (Electronic & Communication)Über mich
Senior Cloud Architect & Data Specialist (17+ years) certified in Azure, AWS & Oracle. Expert in building scalable, high-performance cloud and database architectures. Driven by automation, stability, and delivering high-impact global results across the entire data lifecycle.
Skills
Amazon Web ServicesAutomatisierungMicrosoft AzureCloud ComputingDatenbankenOracle Data GuardDevOpsPythonPostgreSQLMicrosoft Sql-ServerMySQLOracle DatabasesOracle FinancialsOracle RacAnsible
Database Technologies
Oracle 19c,12c,11g,10g,9i / Oracle RAC / Oracle Dataguard / PostgresSQL/Kafka/ Cassandra/ Redis/ SQL (SQL Server) / Cloudera / Vertica / PL/SQL / AWS Dynamo DB / Azure Cosmos DB / Apache Cassandra / MySQL Azure Data engineer /
AWS administration / AWS Aurora DB / Azure Databricks/ AWS EKS container
DevOps
GIT (GitLab) / Terraform / Automation (Ansible, Salt, Chef, Puppet) / Jenkins, Bitbucket
Cloud
Azure Data engineer / AWS cloud administration / GCP
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Key Skills & Technologies ?️
Cloud & IaC: GCP, AWS, Azure, Terraform, Ansible.
Data & Middleware: Cassandra, Cloudera Hadoop, Kafka, PostgreSQL, MongoDB, HANA.
CI/CD & DevOps: Bitbucket, Azure Devops,GitLab, Jenkins, GitHub Actions, GitOps, Rundeck, Python.
Highlights & Achievements ✨
Pioneered the design of modular Terraform configurations for all cloud services, with emphasis on GCP resource provisioning and automated data platform deployment.
Database Administration & On-Call Support: Managed and maintained diverse database environments (PostgreSQL, MongoDB, Cassandra, HANA), including patching, upgrades, performance tuning, and participating in 24/7 on-call rotation for critical incident resolution.
Led a critical AI Automation Project focused on databases, successfully automating routine on-call tasks and implementing security fixes across the diverse data ecosystem, drastically cutting incident response time.
Managed and scaled Kafka and Cloudera Hadoop infrastructure to support high-throughput streaming and big data processing.
Developed a Central Inventory Project to aggregate details for all database assets across multiple Data Centers, improving asset management.
Overview
Skills
Highlights
Achievement
Purpose: Developed a GenAI Chatbot to automate database tasks, on-call response, and cloud resource analysis, significantly boosting operational efficiency (MTTR reduction).
Deployment: Functions as an agent within Slack and MS Teams.
AI/LLM: Leveraged OpenAI (LLM) for NLU and response generation, integrated with SAP Core AI.
Automation/Backend: Strong proficiency in Python scripting; enabled seamless execution of complex workflows.
Tools: Integrated automation platforms (Rundeck, Ansible) and knowledge portals (Confluence, Jira).
E2E On-Call Automation: Achieved conversational automation of routine DB tasks (e.g., reboots, health checks) across platforms.
CloudSQL/HANA Analysis: Automated analysis of CloudSQL logs/metrics and HANA health checks, providing a concise, actionable data summary.
Automated Tool Invocation: The AI seamlessly invokes Rundeck and Ansible workflows based on natural language commands.
Document Grounding (RAG): Used RAG to ground responses on Confluence and Jira content for high-accuracy, context-aware troubleshooting.
Efficiency Gain: Estimated 40% reduction in manual on-call tasks and 50% faster incident diagnosis via automated analysis/summaries.
Knowledge Access: Transformed troubleshooting by delivering instant, grounded solutions from integrated documentation and ticket history.
Tech Success: Successfully orchestrated a complex backend (OpenAI, SAP Core AI, Python, Rundeck, Ansible) into a unified collaboration tool.
-Pioneered Multi-Cloud Infrastructure (AWS, Azure, GCP): Designed, provisioned, and managed highly available and scalable cloud infrastructure across AWS (Lambda, EC2, S3), Azure resources, and GCP, using advanced Terraform modules to standardize and automate all service deployments.
-Drove Cloud Automation and Configuration Management: Significantly reduced deployment time and configuration drift by automating cloud provisioning and application configurations using Ansible, Chef, and Puppet.
-Accelerated Software Delivery (CI/CD/GitOps): Developed, maintained, and optimized robust CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD, implementing GitOps workflows (via Bitbucket/GitLab) to ensure immutable, version-controlled infrastructure and application deployments.
-Optimized Resource Efficiency and Cost: Implemented automated scaling, monitoring, and detailed cost analysis tools to optimize cloud resource utilization, resulting in measurable cost savings and improved performance.
-Strengthened Security and Compliance: Led and executed security hardening initiatives and implemented continuous monitoring strategies to ensure infrastructure adherence to industry best practices and regulatory compliance.
-Developed Custom Automation Tools (Python): Wrote advanced Python scripts to create bespoke automation solutions for critical tasks, including infrastructure monitoring, complex log analysis, and efficient API integrations.
Zertifikate
Terraform Associate (003)
HashiCorp2025
Azure - Administering SQL solutions
Microsoft2024
Azure Data Engineer Associate
Microsoft2021
AWS Certified Big Data - Speciality
AWS2020
Azure Fundamentals
Microsoft2020
AWS Certified Developer - Associate
AWS2018