Architected and implemented comprehensive threat intelligence infrastructure for monitoring high-risk platforms, enabling collection and analysis of critical data for crisis communications, executive protection, and cybersecurity.
🚀 Core Contributions
🧠 Data Ingestion Architecture
Multi-Source Collection: Designed pipelines for extracting data from Gab, Truth Social, 4Chan, Telegram, and communities.win.
Text Preprocessing: Implemented NLP pipelines to enhance text analysis capabilities for intelligence gathering.
Automated Account Management: Built systems to maintain platform access and follow relevant accounts.
Database Restructuring: Optimized schema with 4-table architecture (Target, Post, Source, Actor) for better data landscape capture.
🔄 Data Migration & ETL
Cross-Platform Pipeline: Engineered ETL processes for transferring data between disparate systems
PostgreSQL to Elasticsearch Transfer: Built an ETL pipeline to transfer data from PostgreSQL hosted on Digital Ocean to Elasticsearch hosted on AWS
AWS to Digital Ocean Transfer: Built an ETL pipeline to transfer data integration between AWS Elasticsearch and Digital Ocean Elasticsearch
Data Integrity: Implemented validation procedures to ensure zero data loss during migrations
Admin Control Interfaces: Developed Django-based management systems for non-technical operators
📊 Monitoring & Observability
EFK Stack Implementation: Deployed Elasticsearch, Fluentd, and Kibana for comprehensive system monitoring
Kubernetes Log Collection: Configured Fluentd to capture and centralize logs from distributed cluster components
Real-time Worker Monitoring: Implemented Celery Flower for task queue visibility and performance analysis