About

Amit Singh is a visionary leader in the ever-evolving Data Engineering technology landscape with over 13 years of experience. He has a track record of inspiring excellence and creating team culture based on performance and innovation. Amit is a dynamic engineer who is highly adaptable to the current trends of Big Data and Cloud Engineering capabilities. Amit has experience in establishing enterprise-wide Big Data Engineering principles and practices alongside delivering and growing in-house frameworks capabilities using open-source Big Data technologies. He has also driven high-performance teams promoting innovative minds with disruptive thinking to boost the strategic success of individuals, teams, and organizations. Amit is an advocate of Chapter crafts development while facilitating the applied Industry standards in various SDLC phases like Build, Test Driven Development, Automation and enabling Modern CI/CD pipelines. Amit has experience in outlining the Organization AOP strategic initiatives and milestones conversing with Senior Executives and Procurement stakeholders. He has also worked with Agile - Tribes/Squads/Scrum methodologies-based Project delivery model leveraging all the procedures like Sprint, Scrum, Retrospective, Planning, Mid-point reviews, Backlog review. Amit has experience in designing, developing, and live deployment for Data as a Service, Data Lake, Data Mart on CDH platform using Hive, Impala, Spark, HUE, beeline, Teradata. He has also worked with Cloud based Big Data technologies like AWS, GCP cloud platforms. Amit's experience includes reviewing Design/Architecture, building re-usable components, Live Deployment, collecting performance Metrics from Live Hadoop Deployment, Live Data Proving. He also has experience building Realtime & Batch processing pipelines on Big Data Platform. Amit has experience in all phases of Enterprise Data Development including Data Engineering, Data Governance, Data Security, Data Quality, Data Platform Design and Development. He has also solved real-world problems of large on-premises deployment of AD Kerberos enabled Big Data Cluster like Small files issues, Impala performance optimizations, Spark execution enhancements, Hive Partitions issues, speeding up the Batch execution from source to target for an Enterprise Scale Data Platform. Currently, Amit is working as an Engineering Manager at Commonwealth Bank, part of Institutional Business Banking Data Delivery domain in Chief Data & Analytics Office (CDAO). Amit is responsible for Key Data Delivery projects while alongside growing the Engineering capability for the delivery domain. In the past, Amit has worked with Optus as a Chapter Lead - Data Engineering and with United Overseas Bank Limited UOB as