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Rahul Panda
Data Engineer @ Google | Cloud Strategy & Migration | Google Cloud
About
Rahul Panda is a highly skilled Data Engineer with over 6 years of experience in designing Big Data solutions architecture. He is currently working at Google as a CMC for Data & Analytics in Google Cloud. Rahul's expertise includes setting up Hadoop and OLAP environments, performing data integration, and defining ETL workflows. He has developed and optimized Data Warehouse, Data Lake, and Data Marts and created CI/CD pipelines, implemented Data Governance, and automated tasks. Rahul has also created Map-Reduce and Spark jobs, tuned SQL queries, and embedded different Big Data tools that help in Data Analytics and Business Intelligence. Rahul has a deep understanding of Distributed Systems, has implemented Multi-Hybrid cloud infrastructure, and has migrated on-premise applications to the cloud while maintaining Data Integrity, availability, and confidentiality. He is proficient in preparing, optimizing, and deploying data preparation processes and provides advice on application design on cloud service solutions. In his current role at Google, Rahul leads project delivery including project scope, deliverables, estimates, quality, detailed project plans, and change requests. He oversees projects through the complete life-cycle including scoping, planning, execution, implementation/rollout, and closing. Rahul helps customers with current infrastructure assessment, design, and architect target infrastructure, develop a migration plan, and implement Google Cloud best practices. He proactively partners with Global Business and technical teams to shape clients' needs into opportunities and solutions. Rahul has previously worked at Deloitte as a Consultant for AI & Data Engineering, where he developed Data Pipelines for Batch and Streaming Data Ingestion using Airflow (Python) and Dataflow. He has also worked at Aptus Data Labs as a Senior Data Engineer, where he was responsible for developing and maintaining on-premise Data Warehouse with Peta-bytes of data for Financial clients. Rahul has also extensively used ETL to transfer and extract data from various sources (RDBMS, APIs, Flat files) to target data warehouse. Rahul holds a Master of Technology in Software Systems - Specialisation in Data Analytics from Birla Institute of Technology and Science, Pilani, and a Bachelor of Technology in Computer Science and Engineering from the National Institute of Science and Technology (Autonomous, NBA and NAAC accredited). He has also completed his CBSE from Kendriya Vidyalaya, ICSE from St. Vincent De Paul School, and CBSE from St. Xavier School. Rah
Education Overview
Companies Overview
โข google
โข deloitte
โข aptus data labs
โข icici bank
โข national institute of science and technology
Experience Overview
7.7 Years
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