- 🎓 I am a final-year Computer Science student at the Faculty of Computers and Artificial Intelligence, expected to graduate in July 2026.
- 💼 I currently work remotely as a Data Engineering professional, building a comprehensive production management system for Roto House.
- 🚀 I specialize in building end-to-end Data Engineering pipelines, cloud infrastructure, automated ETL processes, and real-time visualization.
- 🧠 I am actively integrating large language models (like Gemini and Grok) to handle complex logic and automation in software systems.
- 🏅 I hold the IBM Data Engineering L1 professional certification and have completed the McKinsey Forward program for professional development.
- Data Engineer | Roto House (Remote) Currently developing the backend data architecture and operational logic for a full-scale factory production management website.
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Global Weather Analytics Pipeline: Built an automated ETL pipeline using Python multithreading to extract live data for 155+ cities, transformed and saved to Parquet, with a real-time Streamlit dashboard.
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YouTube AWS Serverless Data Pipeline: Designed an end-to-end data engineering pipeline leveraging AWS (Glue, Lambda) and Snowflake for robust data processing and cleansing.
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AI Shift Management Agent: Developed an AI-driven agent to manage employee tracking and shift logic, implementing automated "Rollover" (deficit) and "Extinguisher" (surplus) logic using Grok and Gemini.
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IBM Data Engineering Capstone: Applied comprehensive data engineering skills to build scalable data solutions and cloud infrastructure.
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IMDB Serverless ELT Pipeline: Developed a cloud-native ELT pipeline to ingest and process large-scale movie datasets. Leveraged AWS Lambda for event-driven extraction and stored raw data in S3, utilizing Snowflake for scalable transformations and analytics.
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📄 My Resume