I am a data engineer with over 2 years of work experience in building scalable and efficient data pipelines, leveraging technologies like Apache Airflow, AWS, Snowflake, GCP, and more. Recently, I have successfully built two data pipelines: one for fetching historical and real time data from Binance and another supporting an end-to-end ML workflow.I have a solid command of writing python scripts. It allows me to develop robust data pipelines as a service, utilizing the best available technologies. I am adept at selecting the right tool for the task. For example, for analyzing historical stock market/crypto data, a data warehouse is the right choice. With my deep understanding of python, I can also ensure comprehensive error handling to manage network issues, API rate limits, and data inconsistencies. I am a graduate from IIT Madras, one of India's top universities. I possess strong analytical and detail oriented skills. I am proactive in learning and integrating new technologies to continuously improve my work. Looking forward to deepening my expertise in data engineering architecture and ML pipelines contributing to more advanced and scalable solutions.