Experienced Data Engineer/Cloud Engineer with a demonstrated history of developing and implementing highly available, scalable Data Warehousing and Big Data solutions on top of AWS along with automating and containerizing applications. Cloud and Data Engineering • Proficient in creating highly scalable Data processing/ETL pipelines using various AWS services and data processing frameworks like Spark. • Deep expertise and hands on various AWS services to design complex solutions using Serverless Architecture and Traditional Architecture. • Implemented cloud security protocols such as AWS IAM policies, Cross region replication, Life cycle Management, S3 Bucket policies • Experienced in performance tuning of Spark jobs handling TB's and GB's of data volume DevOps • Proficient in creating CI/CD pipelines using tools like Jenkins , Gitlab CI/CD and AWS Code Pipeline + AWS Code Build • Hands on experience in containerizing the applications and deploying it to Kubernetes cluster in an automated fashion • Automated infrastructure creation of various AWS services by implementing Infrastructure as Code through AWS CDK • Good exposure to other tools/framework for AWS Infra automation like AWS Cloudformation, SAM and Serverless Framework Data Modelling • Experience in Dimension modelling and creating OLAP systems with good understanding of concepts like Dimensions, Facts, Star Schema etc • Experience in creating Graph models for Labelled Property Graphs Tools and Technology - AWS, Kubernetes, Spark, Databricks, Jenkins, Hadoop, SQL, Python, Neo4j, Oracle, Apache Hive, Nifi.