e6data
Faiz Kothari began their work experience as an intern at Ericsson in 2014. They then worked as a Software Engineer at Ericsson from 2015 to 2017. Following that, they joined Cisco as a Senior Software Engineer in 2017 and worked there until 2021. Currently, Faiz is working at e6data as a Senior Performance and Research Engineer, where they are involved in designing and building features for a fast OLAP query engine for Data Lake architecture.
Faiz Kothari pursued their education from 2011 to 2015 at Birla Institute of Technology and Science, Pilani. Faiz obtained a Bachelor's degree in Electronics and Instrumentation with honors during this period.
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e6data
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e6data is a hyper-performant built-from-scratch SQL analytics engine for today's complex, high concurrency workloads. Rather than building hundreds of incremental improvements over the best existing technology, we took a clean slate approach to addressing the most deep-rooted problems in distributed query processing. The result is 5 - 20X faster speeds (or 60% lower costs) compared to industry-leading managed platforms (like Amazon Redshift, Snowflake, Google BigQuery), as well as open architecture platforms like (Databricks / Spark, Starburst / Trio / Presto, Dremio, etc.). Our core guiding beliefs that have influenced design choices at e6data: 1) Embrace Open Architectures and Open file formats (i.e. no vendor lock-in), 2) Deploy fully WITHIN customer data boundaries (e.g. cloud accounts, or on-premise) 3) Performance on ANY infrastructure (any cloud provider / any deployment scenario), 4) No data migration/replication / ETL into closed data warehouses (i.e. simplified architectures and lower cost compute), 5) Fully transparent to end-users - viz. no changes to existing data pipelines, existing SQL queries, existing BI tools/notebooks, existing governance frameworks, etc. 6) No other unfair cheat codes (i.e. no caching, no materialization, etc.), 7) Try before you buy, and Pay only for what you use