Built Apache Airflow DAGs to automate Yahoo Finance stock data ingestion, storage, and querying, then extended with a Python log analyzer to monitor execution errors. Demonstrates orchestration, scheduling, operator use, and pipeline monitoring.

CometBFT Analyzer backend that manages users, projects, and simulations; ingests log files, orchestrates ETL, and exposes normalized consensus events and latency/network metrics via a MongoDB-backed REST API with per-simulation databases, cursor/page pagination, multipart uploads, CORS/security headers, and rate limiting for production deployments.

Deployment, monitoring, and DNS automation layer for the Log Analyzer Attack Detection platform — enabling streamlined CI/CD, environment sync, and production stability.