About

Prateek Dubey is a highly skilled and experienced Data Engineering Manager and Lead Data Engineer with over 9 years of relevant experience. He is currently working in the Data Engineering Team at Global Fashion Group in Singapore, where he manages a small team of Data Engineers to build the company's Data Platform. Prateek is an expert in building solutions and services that bridge the gap between Data Engineering, Data Science, and Product. His work revolves around architecting, developing, and supporting Data & ML Platforms, Data Engineering pipelines, Feature Engineering, Model Serving, and providing Data Architecture solutions. Prateek has extensive experience working on Cloud, DevOps, Data Engineering, Data Governance, Data-Ops, and ML-Ops using Kubernetes, Docker, Kafka, Hadoop, Spark, Airflow, Terraform, AWS, Azure, GCP, and Cloudera. He has a strong skill set and competencies in Apache Hadoop, Apache Spark, Data Formats, Streaming, Data Governance, AWS Stack, Azure Stack, GCP Stack, Machine Learning Orchestration and Deployment, Programming & Scripting languages, Logging and Monitoring, Development Notebooks and IDE, Job Workflow Scheduler, Relational, NoSQL, Graph Databases, CI/CD and DevOps, Infrastructure as Code, Container Orchestration, and more. Prateek has previously worked as a Lead Data Engineer and Data & Solution Engineering Manager at Singtel and Global Fashion Group, respectively. He holds a Bachelor of Engineering degree in Computer Engineering from the University of Pune, and has completed his HSC/ 12th and SSC/ 10th from The Army Public School, Dhaula Kuan, New Delhi and Army Public School, Delhi Cantt, New Delhi, respectively. Prateek's tech stack includes Data Engineering, ML, Senior Software Engineer, Kubernetes, Spark, Azure, infra, SQL, AWS, Hadoop, DevOps, Databricks, Terraform, Apache Airflow, Docker, Kafka, GCP, Jupyter, Sagemaker, ECS, Amazon Athena, CI/CD, Data Scientist, MySQL, NoSQL, Elastic Search, Jenkins, Python, Scala, Apache Hive, and more. He is a highly skilled and experienced professional who is passionate about building data and ML infrastructure on Cloud and On-Premise using Kubernetes to run Batch/Real-Time Data and ML workloads.