I am a Backend Architect, Data Engineering Specialist, and Infrastructure Expert with over a decade of experience designing, implementing, and scaling highly reliable backend systems and data pipelines.
My core focus is on backend architecture, high availability (HA), scalability, cost-optimized cloud infrastructure (FinOps), and data engineering solutions tailored to enterprise needs.

I specialize in building cloud-native distributed systems and data pipelines that are efficient, fault-tolerant, and capable of handling complex, large-scale workloads.

• Languages: Java, Kotlin, Python
• Backend Architecture: Microservices, Event-Driven Systems, API Design
• Data Engineering: Data Pipelines, ETL, Batch & Stream Processing
• Data Platforms: Apache Kafka, Apache Spark, Airflow
• Infrastructure: AWS (EKS, ECS, RDS, S3, Glue, Athena), Terraform, Ansible
• Reliability: High Availability (HA), Disaster Recovery (DR), Scalability

• Cost Optimization: AWS Well-Architected Framework, FinOps strategies
• CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI
• Orchestration & Containers: Kubernetes, Docker Swarm
• Monitoring & Observability: Prometheus, Grafana, ELK/EFK Stack

• Resilient Systems: Designing scalable, fault-tolerant backend and data solutions.
• Data-Driven Solutions: Building real-time and batch pipelines to enable insights.
• Cost Efficiency: Optimizing resources with smart FinOps practices.
• Continuous Improvement: Adopting the latest tools and technologies.
• Team Growth: Mentoring and fostering collaboration for shared success.

Here are some highlighted projects showcasing my expertise in backend architecture, infrastructure, and cloud-native solutions:

Integrating Milvus, Slack API, and LangChain to implement Retrieval-Augmented Generation (RAG) for knowledge management.

Multi-module Kotlin project that implements a simple Model Context Protocol (MCP) server and a client.

Robust server monitoring system with Prometheus for metrics collection and Grafana for visualization.

Centralized log management system using EFK (Elasticsearch, Fluentd, Kibana) for large-scale infrastructure logs.

Designed and configured a Redis cluster with master-slave architecture for HA and scalability.

Provisioned a Kafka cluster running in KRaft Mode, eliminating Zookeeper dependency with enterprise-grade reliability.

Deployed a multi-master Kubernetes cluster on AWS for fault tolerance and scalability.

• AWS Certified Professional
  • Solutions Architect
  • DevOps Engineer
  • Security Specialty
• Microsoft Certified
  • Azure Fundamentals
  • Security, Compliance, and Identity Fundamentals
• Oracle Certified Professional
  • Java SE 11 Developer
  • JPA Developer
  • Web Component Developer
• CNCF (Cloud Native Computing Foundation)
  • Certified Kubernetes Administrator (CKA)
• Confluent
  • Certified Developer for Apache Kafka (CCDAK)
• VMware
  • Spring Professional 2021
• HashiCorp
  • Terraform Associate