22.05.2025 aktualisiert


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Lead Developer - Architect
Frankfurt am Main, Deutschland
Deutschland
Bachelor´s Degree, Computer ScienceSkills
JavaAgile MethodologieAmazon Web ServicesAtlassian ConfluenceAtlassian JiraMicrosoft AzureCheckstyleFindbugsGradleHibernateJava Persistence APISpring FrameworkPostgreSQLApache MavenMicrosoft Sql-Server
Agile methodologies,
Java,
Kubernetes,
Kotlin,
Spring,
AWS,
Google Cloud,
Azure Cloud
Kafka,
Google Pub/Sub,
RabbitMQ,
Rest-API (Swagger, OpenAPI)
Google BigQuery,
PostgreSQL,
Microsoft SQL Server,
Cassandra,
MongoDB,
PL-SQL,
Jira,
Confluence,
Bitbucket,
Splunk,
AppDynamics,
Jenkins,
Teamcity,
Grafana,
Prometheus,
Hibernate, JPA,
GIT,
Maven,
Gradle,
Checkstyle, Sonar, Findbugs,
Event Driven architecture,
Microservices,
Veracode,
Postman, Soap-UI,
Thingsboard
Java,
Kubernetes,
Kotlin,
Spring,
AWS,
Google Cloud,
Azure Cloud
Kafka,
Google Pub/Sub,
RabbitMQ,
Rest-API (Swagger, OpenAPI)
Google BigQuery,
PostgreSQL,
Microsoft SQL Server,
Cassandra,
MongoDB,
PL-SQL,
Jira,
Confluence,
Bitbucket,
Splunk,
AppDynamics,
Jenkins,
Teamcity,
Grafana,
Prometheus,
Hibernate, JPA,
GIT,
Maven,
Gradle,
Checkstyle, Sonar, Findbugs,
Event Driven architecture,
Microservices,
Veracode,
Postman, Soap-UI,
Thingsboard
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2020
Sprachen
DeutschgutEnglischverhandlungssicherSpanischMuttersprache
Projekthistorie
Led the development and implementation of the backend infrastructure for the groundbreaking IoT product, Aladin - Smart Meter. Instrumental in architecting a high-performance system capable of measuring voltage and current consumption, pinpointing energy losses, and significantly reducing operational costs for clients.
Key Achievements:
• Engineered a robust backend infrastructure capable of efficiently processing millions of requests per second, ensuring optimal functionality and scalability.
• Implemented a comprehensive solution leveraging Dockerized Kubernetes, employing ThingsBoard, PostgreSQL, Cassandra, and Kafka to guarantee system reliability, resilience, and uninterrupted operation round-the-clock throughout the year.
• Orchestrated Google Pub/Sub integration for seamless telemetry data storage, coupled with Google BigQuery's powerful Data Warehouse solution. This enabled advanced analytics, real-time insights, and efficient data processing.
• Spearheaded the establishment of a resilient data architecture, facilitating the identification and rectification of energy inefficiencies, leading to substantial cost savings for clients.
Stack: Kafka, RabbitMQ, Google Cloud, Docker, Kubernetes, PostgreSQL, Grafana, Prometheus, Cassandra, Google Pub/Sub, Googe BigQuery
Key Achievements:
• Engineered a robust backend infrastructure capable of efficiently processing millions of requests per second, ensuring optimal functionality and scalability.
• Implemented a comprehensive solution leveraging Dockerized Kubernetes, employing ThingsBoard, PostgreSQL, Cassandra, and Kafka to guarantee system reliability, resilience, and uninterrupted operation round-the-clock throughout the year.
• Orchestrated Google Pub/Sub integration for seamless telemetry data storage, coupled with Google BigQuery's powerful Data Warehouse solution. This enabled advanced analytics, real-time insights, and efficient data processing.
• Spearheaded the establishment of a resilient data architecture, facilitating the identification and rectification of energy inefficiencies, leading to substantial cost savings for clients.
Stack: Kafka, RabbitMQ, Google Cloud, Docker, Kubernetes, PostgreSQL, Grafana, Prometheus, Cassandra, Google Pub/Sub, Googe BigQuery
Migration of the whole legacy system to the Azure cloud. The
different components were integrated through Kafka by
applying the Event Driven architecture.
The microservices were developed by following the
methodology TDD with the help of the TestContainers library
and the latest version of Junit (5). These services were packaged
in Docker containers and deployed in a Kubernetes cluster.
Deep knowledge on Kafka in order to migrate millions of
customers/cards with the highest performance by using rekeying
and partitions.
Stack: Java 11, Spring (Core, MVC, Reactive, AOP, Boot, Security),
Kafka, Azure Service Bus, Microsoft Azure, Docker, Kubernetes, Rest-
API, H2, MSSQL, PL-SQL, AppDynamics, JPA (Hibernate), Git, Jira,
BitBucket, Confluence, Maven, Jenkins, Tomcat, Netty, Neuvector,
JUnit, Mockito, Testcontainers, Intellij, Postman, SoapUI, SonarQube
different components were integrated through Kafka by
applying the Event Driven architecture.
The microservices were developed by following the
methodology TDD with the help of the TestContainers library
and the latest version of Junit (5). These services were packaged
in Docker containers and deployed in a Kubernetes cluster.
Deep knowledge on Kafka in order to migrate millions of
customers/cards with the highest performance by using rekeying
and partitions.
Stack: Java 11, Spring (Core, MVC, Reactive, AOP, Boot, Security),
Kafka, Azure Service Bus, Microsoft Azure, Docker, Kubernetes, Rest-
API, H2, MSSQL, PL-SQL, AppDynamics, JPA (Hibernate), Git, Jira,
BitBucket, Confluence, Maven, Jenkins, Tomcat, Netty, Neuvector,
JUnit, Mockito, Testcontainers, Intellij, Postman, SoapUI, SonarQube
In Germany, I started on a new project called "Deutsche Bank
mobile application". I was in charge of the development of REST
layer which provided services to iOS and Android mobile apps.
As the leader developer, I was responsible for coordinating the
work of my team members in an agile environment while
developing myself.
Stack: Java 8, Kotlin, Spring (Core, MVC, AOP, Hateoas, Boot,
Security), Rest-API, Weblogic, MongoDB, Splunk, Git, Jira, BitBucket,
Confluence, Maven, Jenkins, Jbehave, Gatling, Selenium, JUnit,
Mockito, Powermock, IntellijJ, Postman, SoapUI, SonarQube,
Findbugs, Checksyle
mobile application". I was in charge of the development of REST
layer which provided services to iOS and Android mobile apps.
As the leader developer, I was responsible for coordinating the
work of my team members in an agile environment while
developing myself.
Stack: Java 8, Kotlin, Spring (Core, MVC, AOP, Hateoas, Boot,
Security), Rest-API, Weblogic, MongoDB, Splunk, Git, Jira, BitBucket,
Confluence, Maven, Jenkins, Jbehave, Gatling, Selenium, JUnit,
Mockito, Powermock, IntellijJ, Postman, SoapUI, SonarQube,
Findbugs, Checksyle