e6data
Lakshmi Narayana G's work experience includes roles as a Software Engineer at e6data, a Software Engineer at SocioHub, and a Full stack developer at Cognier Insights Pvt. Ltd.
At e6data, Lakshmi Narayana G was part of Team E6X, working on a platform-agnostic big data query engine. This engine offered significant performance gains compared to existing platforms like Snowflake, BigQuery, Redshift, and Databricks. Lakshmi Narayana G contributed to the development of this engine by utilizing proprietary autonomous Indexing and query execution algorithms.
During their time at SocioHub, Lakshmi Narayana G worked on various projects. They optimized the website's SEO and speed through an end-to-end audit and implemented changes using a lazy loading architecture. Lakshmi Narayana G also set up AWS EC2 instances and worked with Cloudflare CDN for domain routing and DNS management. Additionally, they researched and built hybrid android apps using Cordova Framework, reduced app size, and developed various modules such as a product launch module, an ideation module, and a publishing module with payment gateway integration.
Lakshmi Narayana G's previous experience as a Full stack developer at Cognier Insights Pvt. Ltd. involved working on various development projects, although no specific details were provided.
Overall, Lakshmi Narayana G has experience in software engineering, optimization, cloud infrastructure management, app development, and full stack development.
From 2013 to 2017, Lakshmi Narayana G attended the Indian Institute of Information Technology Guwahati. During this time, they pursued a Bachelor of Technology degree in Computer Science.
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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