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Golang Developers in Berlin

Led the development of high-performance data ingestion systems for IoT devices, processing millions of events daily. Spearheaded efforts in optimizing SQL queries for large-scale data retrieval operations.

• Designed fault-tolerant systems using Golang and Kubernetes
• Implemented event-driven architectures with message brokers
• Conducted performance tuning for JVM-based applications

Architected distributed systems with gRPC and REST interfaces for high-throughput data processing. Designed database schemas and optimized SQL queries for large-scale applications.

• Implemented caching strategies to reduce API response times
• Led migration from monolithic to microservices architecture
• Developed real-time analytics platform using Golang and Python

Engineers event-driven Go services and high-throughput pipelines processing more than 40 million SKU collections daily. Built Kafka and Flink workflows with PostgreSQL, Elasticsearch, Docker, and Grafana, including a product-offer service that improved processing speed by approximately 24 percent.

• gRPC service interfaces
• Redis-backed data access
• Prometheus operational metrics
• Terraform infrastructure provisioning

Designed and operated Go distributed systems for transaction-critical fintech workflows and event-driven platforms using Kafka, RabbitMQ, NATS, PostgreSQL, and ClickHouse. Recent systems include GraphQL server-driven experiences, experimentation infrastructure, and AI-powered semantic search with vector retrieval.

• Kubernetes platform engineering with Terraform and Helm
• OpenTelemetry tracing with Prometheus and Grafana
• Fault-tolerant concurrent service design
• RAG pipelines using Qdrant

Developed distributed microservices for e-commerce platforms, optimizing transaction processing and inventory management. Implemented real-time data pipelines for analytics using AWS and Golang, enhancing data-driven decision-making. Architected scalable serverless applications with a focus on reducing latency and improving user experience.

• Designed RESTful APIs for high-traffic web applications
• Automated CI/CD pipelines with AWS CodePipeline and Docker
• Integrated third-party payment gateways into existing systems
• Migrated legacy applications to modern tech stacks

Contributed to the development of a Rust-based blockchain prototype focusing on smart contract execution. Implemented data transformation pipelines in Python for ETL processes. Developed SQL-driven reporting tools for real-time analytics.

• Automated documentation generation using Typst and LaTeX
• Enhanced database indexing strategies for improved query performance
• Integrated GoLang with existing RESTful APIs for seamless data exchange

Architected distributed systems with a focus on fault tolerance and scalability using Scala and AWS. Pioneered development of backend services in Rust and Golang for cloud-native applications.

• Architected distributed fault-tolerant systems
• Developed cloud-native services in Rust
• Leveraged AWS for scalable infrastructure

Architected and led development of distributed data processing frameworks using Apache Arrow and DataFusion. Spearheaded Kubernetes-based infrastructure projects to enhance deployment efficiency and scalability.

• Pioneered Rust integration for high-performance data analytics
• Managed cross-functional teams in cloud-native application development
• Designed CI/CD pipelines to streamline software delivery

Engineered Kafka-based contact synchronization pipelines with offset tracking, fault-tolerant retries, 250-contact batches, and zero message loss across more than 500,000 contacts. Built Go services for automation integrations and communications workflows, including multi-provider OAuth 2.0 credential isolation through AWS Secrets Manager.

• Twilio number provisioning workflows
• Bidirectional CRM event synchronization
• Kubernetes cloud-native deployments
• Interface-based integration adapters

Builds high-load Go backend services around PostgreSQL, Redis, Kafka, and gRPC, with distributed-system designs covering failure handling, idempotency, and back-pressure. Applies domain-driven service boundaries and contract-first APIs to keep event-driven platforms maintainable as throughput and operational complexity increase.

• Solidity smart-contract development
• Clean architecture and bounded contexts
• Kafka-based asynchronous processing
• gRPC API contract design

Contributed upstream to etcd and Kubernetes while delivering storage, backup, and observability features for enterprise container platforms. Architected IoT data infrastructure with time-series forecasting, and developed Go operators for database backup, restore, and remote object-storage workflows.

• InfluxDB backups across cloud object stores
• Azure Disk CSI migration implementation
• Prometheus export to Kafka
• Flink and Spark data-processing pipelines

Built data-driven services for purchasing decisions and a file-management platform supporting internal, external, and public sharing. Implemented file format conversion, authorization, collaborative editing, batch downloads, and an AI agent that executes file operations from natural-language prompts.

• Secure file-sharing and access-control workflows
• Cross-format document manipulation pipelines
• Natural-language file operation commands
• Operational documentation and L3 support

Operates fault-tolerant Go microservices on AWS and Kubernetes for a verification platform serving millions of merchants. Designed Kafka consumers with at-least-once semantics, deduplication, retries, dead-letter handling, and provider abstractions for KYC/KYB integrations.

• gRPC API design
• DynamoDB persistence
• Terraform infrastructure provisioning
• 75% authentication-cost reduction

Architected event-driven Kubernetes platforms using Kafka and Flink at more than 50,000 messages per second, supporting high-volume distributed workloads. Decomposed a monolith into more than 20 Go services while applying Saga, CDC, transactional-outbox, and eventual-consistency patterns.

• ClickHouse analytical storage
• Debezium change data capture
• ArgoCD deployment automation
• Qdrant and Weaviate vector search