e6data
Jyoti Rai has a total of 9 years of work experience in software testing. Jyoti is currently working at e6data as a Software Test Engineer. Previously, they worked at Smarten Spaces from December 2017 to April 2020, where they were involved in testing mobile applications, web applications, and API testing. Jyoti used Selenium for web application automation and Rest Assured for API testing. Prior to that, they worked at Accenture from September 2014 to November 2017 as a Software Engineer. Jyoti had experience in black box testing techniques and testing methods in the business insurance domain. Jyoti also worked with tools like UFT and Selenium for in-Sprint automation.
Jyoti Rai attended the National Institute Of Technology Sikkim from 2010 to 2014, where they obtained a Bachelor of Technology degree in Electrical and Electronics Engineering. Additionally, Jyoti has obtained several certifications, including the Microverse JavaScript Module from Microverse in April 2021, the Responsive Web Design certification from freeCodeCamp in March 2021, the Microverse Ruby on Rails Module from Microverse in January 2021, the Microverse Ruby/Database Module from Microverse in October 2020, the Microverse HTML/CSS Module from Microverse in September 2020, and the HackerRank Javascript Basic Certificate from HackerRank in June 2020.
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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