👋 Hi, I'm Amr El Sawalhi

Data Engineer | Cloud Architecture & Scalable Pipelines

Building robust, end-to-end data pipelines and analytical platforms.

AI-Powered Financial Intelligence Platform & Automated Data Pipeline.

• Core: End-to-end sovereign data appliance orchestrating ingestion for Crypto, Stocks, and Commodities.
• AI Agents: Integrated Google Gemini agents for automated technical analysis, macro summaries, and portfolio strategy.
• Architecture: Professional "Hub & Spoke" design using Dagster for orchestration and PostgreSQL (Star Schema).
• Performance: High-throughput ETL engine using Polars and SQLAlchemy (5x faster than standard methods).
• Stack:

High-performance wedding venue discovery platform for the Egyptian market.

• Mobile Architecture: Cross-platform React Native app built with Expo SDK 53 and TypeScript.
• Performance: Sub-second load times via multi-layer caching (Memory/AsyncStorage) and Hermes Engine.
• Backend: Serverless Supabase Edge Functions with PostgreSQL database.
• Stack:

End-to-end data pipeline & dashboard for League of Legends ranked matches.

• Pipeline: Automated ETL using GitHub Actions, fetching data from Riot Games API to PostgreSQL.
• Data Modeling: Designed a Snowflake Schema optimized for analytical queries.
• Visualization: Interactive Power BI dashboard and Streamlit app for champion stats.
• Stack:

Interactive real-time sentiment analysis tool with extensive NLP pipeline.

• ML Ops: Automated training pipeline that triggers when new data is detected.
• NLP: Custom processing with spaCy (Lemmatization) and TF-IDF vectorization.
• Feedback Loop: Interactive Streamlit UI allowing users to correct predictions for model fine-tuning.
• Stack:

Web scraping tool for tracking e-commerce prices in Egypt.

• Scraping: Robust extraction using BeautifulSoup and Requests with randomized user agents.
• Interface: Clean Streamlit dashboard for searching multiple products and exporting CSVs.
• Stack: