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Kanstantsin K.KK

Kanstantsin K.

Streaming & Distributed Systems Engineer | AI/LLM

1.200 €/Tag
Puchheim, DE
15+ Jahre

Durchschnittliche Reaktionszeit: 1h

Über Kanstantsin

20+ Jahre praktische Erfahrung mit großen, verteilten Systemen – Architektur, Skalierung und Stabilisierung (seit 2004). Fokus in den letzten Jahren auf Echtzeit-Streaming-Plattformen in hochkritischen, regulierten Umgebungen – zunehmend mit KI/LLM-Integration.

Ich steige in kritische Projekte ein, stabilisiere instabile Pipelines und helfe Teams, sichere, produktionsreife Software zu liefern.

Spezialisiert auf Echtzeit-Daten & Streaming-Architekturen:
- Java, Python, Node.js/TypeScript, SQL/NoSQL
- Kafka, Flink, Kubernetes, Cloud-native Plattformen
- Hochdurchsatz-Pipelines, Event-getriebene Microservices, API-Plattformen
- LLM-Integration, RAG-Architekturen, KI-gestützte Backend-Services

Aktuelle Referenzen: globale Automotive-Telemetrie-Pipelines (Multi-GB/s), Banking-Zahlungssysteme (350+ Produktionsumgebungen), große Fintech-Datenplattformen.

Sofort verfügbar – remote oder hybrid (Raum München).
Website: kkamkou.de
Zertifizierungen: CKAD · CCDAK · OCP Java · OCP MySQL
Deutsch: B2 / Englisch: fließend

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20+ years hands-on experience building, scaling, and stabilizing large-scale distributed systems (since 2004). Recent focus: real-time streaming platforms in high-pressure, regulated environments — increasingly with AI/LLM integration.

I step into critical projects, stabilize unstable pipelines, and help teams deliver secure, production-grade software.

Specialized in Real-Time Data & Streaming Architectures:
- Java, Python, Node.js/TypeScript, SQL/NoSQL
- Kafka, Flink, Kubernetes, cloud-native platforms
- High-throughput pipelines, event-driven microservices, API platforms
- LLM integration, RAG architectures, AI-powered backend services

Recent track record: global automotive telemetry pipelines (multi-GB/s), banking payment systems (350+ production environments), large-scale fintech data platforms.

Website: kkamkou.de
Certifications: CKAD · CCDAK · OCP Java · OCP MySQL
German: B2 / English: fluent
  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Konversationssicher

  • Russisch

    Muttersprachlich oder zweisprachig

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • CARIAD
    SENIOR SOFTWARE CONSULTANT via Diconium
    Dezember 2024 - Oktober 2025 (10 Monate)
    Re-architected and stabilized the main Apache Flink pipeline (GDC) in the Unified Data Ecosystem (UDE STR) to handle multi-GBps vehicle telemetry traffic. Replaced an unstable Flink SQL implementation with a production-grade Flink Streaming API, rewriting 10k+ LOC. Delivered end-to-end large message ingestion (up to 64 MB), cold storage integration, and package merging, enabling seamless data migration across pipelines. Drove core architectural decisions, decoupled Flink configurations from the Kubernetes Flink Operator, added DFS support for Azure ADLS Gen2, and defined DevOps procedures for upgrading Flink in production. The pipeline has been rolled out globally (EU, US, CH), replacing legacy systems. Major Java backend and REST API changes, including validation layers and integration endpoints, to support new streaming and migration workflows.
    Java Apache Flink Apache Kafka Quarkus PostgreSQL
  • Deutsche Bank
    SENIOR SOFTWARE ENGINEER via HAYS
    April 2022 - Oktober 2024 (2 Jahre und 6 Monate)
    As a core team member, contributed to the «TradeFinder» financial portal by migrating large data pipelines, scripts (python, matlab, sh), and web interfaces to newer versions, addressing security issues and supporting ongoing maintenance and improvements.
    Java Python Spring Oracle Angular
  • HSBC UK
    SOFTWARE CONSULTANT via Marionete
    BANKEN & VERSICHERUNGEN
    Dezember 2021 - Juni 2023 (1 Jahr und 6 Monate)
    United Kingdom
    As a core team member, responsible for the design, implementation, and maintenance of microservices within HSBC's Payments Orchestration Layer framework, a key part of their high-value, high-volume payments system with 350+ production environments. The architecture used gRPC, Kafka, Kafka Streams, and Oracle in a resilient, low-latency mesh optimized for high throughput in a secure, regulated environment. Also provided Level 3 (L3) support.
    Apache Kafka Quarkus Kubernetes Oracle Apache Kafka Streams

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Ausbildung und Abschlüsse

  • master's degree in informatics
    Minsk Innovation University
    2012
    master's degree in informatics

Zertifizierungen

Fähigkeiten

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