╔══════════════════════════════════════════════════════╗
║                                                      ║
║        > Yash Prakash Bhairao                        ║
║        > Role     : Data Engineer                    ║
║        > Focus    : Pipelines · dbt · Airflow        ║
║        > Cloud    : AWS                              ║
║        > Stack    : Docker · Python · SQL            ║
║        > Status   : Building in production 🚀        ║
║                                                      ║
╚══════════════════════════════════════════════════════╝

---

⚡ GitHub Activity

---

🏗️ Data Engineering Stack

---

🚀 Featured Projects

🛒 DBT Data Pipeline Docker ETL Workflow End-to-end pipeline using DBT. Raw data extracted from Postgres, transformed via dbt, orchestrated with Airflow DAGs, containerised in Docker.	🧬 ML Classification Pipeline Breast Cancer Analysis ML pipeline with feature engineering and model training. Containerised with Docker, deployable on AWS EC2, validated with statistical EDA.
🛍️ Scraper + Ingestion Pipeline Flipkart Automation Automated scraper loading iPhone listings into AWS RDS via a scheduled Airflow DAG. Downstream reporting in Power BI.	📐 Pipeline Architecture Sources → Ingest (Python) → Store (S3 / RDS) → Model (dbt) → Run (Airflow) → Serve (Redshift) → Viz (Power BI) 🐳 Docker everywhere

---

📊 Contribution Graph

---

"Data holds the key to unlocking knowledge. Let's explore its secrets together." — Yash Prakash Bhairao

⭐ Star a repo if you find it useful!