About

Chandraprakash Loonker is a top-rated data engineer with over 22 years of experience in pushing the boundaries of what is possible in data engineering technology. He is passionate about developer productivity above all, and then compute efficiency. Chandraprakash is an expert in data architecture, scalability, performance, and high availability. He has excellent problem-solving and root cause analysis skills that make him stand out from the rest. Chandraprakash has worked with big data technologies, elasticsearch, RDBMS, and is proficient in Python. He has envisioned, defined, and executed full-stack technology strategy at his startups. Currently, Chandraprakash is working as a Customer Self Solve Data Platform Engineer at Airbnb. In the past, Chandraprakash has worked as an AI/ML Data Engineer at Facebook, where he built foundational datasets for all AI asset metadata at Facebook. He also conceptualized the project enabling User Defined Function that can be used in multiple SQL engines. Chandraprakash has also worked as an FB App Integrity Data Engineer, where he collaborated with the metastore team to introduce Unique Keys support and implemented aggregate function approx_most_frequent in presto SQL engine. Chandraprakash has a Master's in Business Administration from Sydenham Institute of Management Studies, Research and Entrepreneurship Education, and a Bachelor's in Electronics and Communication from L.D. College of Engineering. He is proficient in data engineering, AI, SQL, big data, Python, elastic search, ML, and Apache Airflow. Chandraprakash is recognized by his co-workers as innovative, motivated, hard-working, and an excellent team player. With over 25 years of relevant experience, Chandraprakash is a highly skilled and experienced data engineer who is passionate about pushing the boundaries of what is possible in data engineering technology.