Datadog Experts in Munich

Alexandru G.

Head of Cloud Infrastructure

Last position:

Principal Cloud DevOps Architect at BP

In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.

Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.

In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.

To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.

Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.

Achievements:

Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.

Tech stack:

Infrastructure as Code: Terraform, AWS CDK, Ansible.
Containers: Kubernetes on EKS, AKS, Docker.
Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
Backend: Python with FastAPI, also Node.js with NestJS.
Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
Monitoring and Observability: Prometheus and Grafana.
Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.

Thomas H.

Senior MLOps, DevOps Engineer

Last position:

Senior MLOps, DevOps Engineer at Trianel Energy

Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
Integration of RESTHeart to create a REST API for MongoDB.
Build an Angular frontend to simplify data queries and master data maintenance.
Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).

Piotr K.

Senior Software Engineer

Last position:

Senior Software Engineer at On

Built middleware service integrating EDI providers and marketplace partners with Microsoft Dynamics 365 to receive sales orders and communicate shipments, invoices, inventory, and price catalogues
Utilized a mixture of REST APIs and event-driven data processing pipelines

Tobias N.

Senior Cloud Architect — Strategy, Architecture, DevOps. From public cloud to sovereign infrastructure.

Puchheim

Last position:

Enterprise & Solutions Architect

Building an independent enterprise IT setup — cloud strategy, network, AWS landing zone, security requirements, contract negotiations.
Migration of all applications; avoiding high contractual penalties for the client.
Onboarding and coordination o...

Pooja K.

Product Manager/Owner

Last position:

Product Owner at Celonis

An enterprise process mining and execution management platform that helps organizations analyze, visualize, and optimize their business processes using event data.

Aligned 40+ engineering squads across 5 countries to deliver platform capabilities at scale, driving release infrastructure, change management, and rollout governance with zero post-launch defects for 1000+ enterprise customers
Owned celonis studio platform roadmap prioritization, balancing technical investments, commercial priorities, and operational needs, driving 50%+ market share growth against legacy products
Translated requirements into specifications, architectural decision records, and delivery plans in collaboration with engineering and UI/UX, resulting in a 20–30% increase in user engagement
Drove the GA launch strategy, running pilot programs and customer discovery sessions to validate operational readiness and enterprise adoption

Jiri S.

Quality Manager/Test Management

Last position:

Quality Manager/Test Management at Noriba GmbH

Test concept creation
Creation of test processes
Coordination of TC development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
HW testing: FPGA, RF
Test automation and regression tests
Ensuring 24/7 operation of the test system
Analysis & reporting
Regular coordination of the test team, meetings with other stakeholders
Communication and coordination with stakeholders and the project manager

Enis S.

Software Developer

Last position:

Software Developer at 50Hertz Transmission GmbH

Participated in the gradual modernization of components into cloud-native 12-factor applications.
Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
Migrated several components into the OpenShift Kubernetes cluster.
Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
Developed dashboards in both Grafana and Splunk for operational transparency.
Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.

Maziyar K.

Senior Data Engineer

Taufkirchen

Last position:

Data Engineer at MSD Germany

Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
Performance Optimization of Data Ingestion of ETL Pipeline
Development of Data Validation using Great Expectations
Leading of the data migration for two sources exchanges
Data Modeling in AWS Redshift

MLOps

Model inference implementation by mlflow and AWS SageMaker
Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
Implementatino of Model Registry and artifactory using mlflow
Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
Feature importance using mlflow

Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy

Alexander N.

Security Expert

Last position:

Security Expert at DAK-Gesundheit

Pentesting of mobile applications
Code review
Gematik audit
Development of secure software development methods
Creation of security and test concepts
Penetration testing of software and architecture
Vulnerability analysis
Automation and information security
Use of Confluence and Jira
Working with databases, J2EE, JavaServer Faces, Liquibase, Apache, Maven, Mercurial, Oracle Financials
Documentation and creation of security policies
Management of software systems, SharePoint, PrimeFaces, Git
Compliance with security regulations and .NET, AWS, API
Tools: MobSF, Frida, Android Studio, Drozer, Objection, Azure

Christof N.

Senior Developer

Last position:

Senior Developer at Otto GmbH

Further development of personalized advertising spaces on the Otto web shop
Full-stack development in a Kanban-driven team of about 15 people
Technologies: Microservices, Kotlin, Spring, Spring Boot, Gradle, MongoDB, HTML, JS, Node, SCSS, AWS
Development process: Kanban; continuous integration with AWS CodePipeline and GitHub Actions

Mario B.

Site Reliability Engineer

Last position:

Site Reliability Engineer at Joyn GmbH

Specialized in cloud infrastructure design, optimizing AWS and SaaS usage.
Empowered development teams by ensuring security, scalability and reliability.
Expertise included robust monitoring and automation for streamlined deployments.
Provided technical guidance for faster releases and supported microservices principles.
Actively participated in architecture discussions and shared critical infrastructure knowledge with development teams.

Ana C.

Software Engineer - Internship

Last position:

Software Engineer - Internship at BMW

Integrated sensor data used for lane boundary extraction into the internal fingerprint pipeline, supporting AI-based localization for autonomous vehicles using Python.
Worked in a cloud-based environment using AWS services for data storage and processing.
Authored onboarding and technical documentation, improving team efficiency and knowledge transfer.
Collaborated with other engineers to translate data requirements into engineering solutions while adhering to confidentiality protocols.

Andreas K.

Senior Developer