🔎 Passionate about building scalable and efficient data pipelines to unlock actionable insights. Skilled in cloud-based architectures, big data tools, and automation, with a focus on continuous improvement and delivering impactful results.

• 🛠️ Tools I love: Python, PySpark, AWS, Airflow, Docker, and Pandas.
• 💬 Ask me about: optimizing Spark pipelines, data lake architectures, or cloud-native solutions.
• 🎓 Background in Chemical Engineering — I chose data over labs 😂.
• 🤝 Always open to collaborating on open-source projects.