Proficient in leveraging key big data components such as distributed file systems (e.g., HDFS), data warehousing solutions (e.g., Hive), data transformation frameworks (e.g., Pig), and data ingestion tools (e.g., Sqoop), alongside hands-on experience with NoSQL databases (preferably MongoDB). Ability to act as a development lead, focusing on inculcating best practices, guiding junior developers, and taking the initiative to reengineer and re-architect generic frameworks to enhance efficiency and scalability.