data engineering at uptycs

Over the last six years, Data engineering team at Uptycs have architected and evolved a real-time ingestion platform handling up to 160 TB of data (160 billion events) per day—leveraging OSS like Spark, Kafka, HDFS, HUDI, columnar formats (Parquet/ORC) for massive scale and cost efficiency. Their advanced query engine stack (Trino, DuckDB, Airflow) supports analytics on petabytes of data and hear about the team’s innovative use of GenAI for data exploration

Whether you’re intrigued by high-throughput streaming, cost-efficient data analytics, or simply want to learn about next-gen data engineering practices, this meetup is for you!