A technologist specializing in building highly scalable, high-performance, and best-in-class solutions leveraging distributed technologies and many more modern technology stacks.• Architected, designed, built, and deployed large-scale solutions involving analytics and engineering on Petabyte scale of data using Apache Spark, Hadoop, MapReduce, Java, Scala, Kubernetes in fast-paced cloud environments (AWS, GCP).• Built data ingestion platform, data lakes, and SCD based custom data warehouse on Hadoop storage and empowered analytics systems on a high volume of data.• Built real-time data analytics platform using Storm/Spark to process north of a billion events a day in an event-based solution model.• Built highly available and high throughput applications deployed in both on-premise and cloud datacenter.• Manage the end-to-end design, configuration, installation, capacity planning, performance tuning, and monitoring of large-scale distributed systems and applications.• Led the development of features that empowers personalization and recommendation models.• Built and managed a small team working on various initiatives which aligned with product goals.