Automated Sovereign Bond & Market Yield Ingestion Engine
Automated multi-sovereign bond curve harvest and yield parser processing 850k+ daily instruments with zero tick drops using Python, Apache Airflow, DuckDB, Pandas, and AWS S3.
Python Developer & Data Engineer ā BotPlayground
Iām Syed Mohammed Ghouse, a Python Developer and Data Engineer focused on ETL pipelines, financial data processing, backend automation, and reliable data extraction systems. Based in Vellore, Tamil Nadu, India.
Engineering fault-tolerant data pipelines, distributed scraping clusters, automated Airflow DAG workflows, and high-throughput backend APIs with Python, FastAPI, PostgreSQL, and DuckDB.
Automated multi-sovereign bond curve harvest and yield parser processing 850k+ daily instruments with zero tick drops using Python, Apache Airflow, DuckDB, Pandas, and AWS S3.
Autonomous headless browser fleet with distributed proxies, automated circuit breakers, and anomaly detection using Playwright, Celery, Redis, and Docker.
FastAPI and PostgreSQL backend providing sub-15ms query execution for real-time asset tracking.
Languages & Core: Python 3.12+, SQL, TypeScript, Bash
Data & Automation: Apache Airflow, DuckDB, Pandas, Playwright, Parquet
Backend & Databases: FastAPI, PostgreSQL, Redis, Flask, REST APIs
Infrastructure: Docker, Linux (Ubuntu), Git, GitHub Actions, AWS S3
Email: ghouse@ghouse.botplayground.co.in
GitHub: https://github.com/smg02
LinkedIn: https://www.linkedin.com/in/ghouse02/