Projects

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Project Highlights

Real-Time Analytics Platform

• Objective:
  Developed a real-time analytics platform to process and analyze data for business intelligence applications.

• Technologies Used:
  Debezium, Kafka, Python, Greenplum, Docker, Kubernetes, Graylog, Prometheus, Grafana

• Key Achievements:

  • Achieved sub-second latency in capturing and processing database changes
  • Designed and implemented scalable microservices capable of handling millions of events daily
  • Built Grafana dashboards to monitor system performance and critical operational metrics

Microservices-Based Data Pipeline

• Objective:
  Developed a microservices-based architecture to enable real-time streaming and processing of large datasets from multiple relational databases.

• Technologies Used:
  Debezium, Kafka, Python, Docker, Kubernetes

• Key Achievements:

  • Automated deployment and scaling of services using Kubernetes
  • Reduced operational complexity by centralizing logs through Graylog containers
  • Improved fault tolerance via Kafka partitioning and replication strategies

GPS Tracking & Telemetry Data Pipeline

• Designed and maintained high-performance, real-time data pipelines focused on GPS tracking systems and telemetry data ingestion.
• Engineered solutions capable of processing hundreds of millions of records per day to support real-time analytics.
• Leveraged cloud infrastructure, containerization, and data streaming technologies to optimize workflows for high-velocity, high-volume environments.