About

Sanjeeb Dey is a highly skilled and experienced Staff Data Engineer currently working at Walmart. He is a Databricks Certified Spark Developer with over 8 years of experience in building data engineering solutions for Big Data in cloud (AWS/Azure) and on-premise systems. Sanjeeb is passionate about making data look easy and beautiful, and he has a proven track record of developing CI/CD pipelines for deploying cloud solutions from development to production. Sanjeeb's current role at Walmart involves building a Gen-3 cloud native data lake solution that will serve as a one-stop solution for multiple users, including Data Engineers, Data Scientists, and ML Engineers. He is customer-obsessed and always strives to help his customers through a data-centric approach. Prior to his current role, Sanjeeb worked as a Senior Consultant at Databricks, where he was part of multiple projects building end-to-end solutions for Spark Structured Streaming, Spark Batch Jobs, CI/CD using Databricks & Gitlab, CI/CD using Databricks, Github & Codefresh, Databricks Delta, Spark Optimization and Tuning, and more. He has experience in building modern data lakes from legacy systems and has handled complex data pipelines with complex schemas and multi-layered nested schemas. Sanjeeb's education background includes a Bachelor of Engineering (BE) in Information Technology from Nagpur University. He has a diverse tech stack that includes Data Engineering, Databricks, Spark, AWS, CI/CD, Azure, Big Data, Hadoop, NoSQL, Kafka, Java, Cassandra, Scala, ML, SQL, Integration, Software Engineering, NLP, MySQL, ETL, and more. With almost 12 years of relevant experience, Sanjeeb is a valuable asset to any team working on data engineering solutions. He is always looking for new challenges and opportunities to learn and grow in his field.