e6data
George PC is a seasoned professional in Quality Assurance with extensive experience in leading teams and delivering high-quality products. Currently serving as a Senior Test Specialist at e6data since August 2023, George creates and leads the QA team while working on innovative data analytics and high-performance query engines across various cloud platforms. Previously, as Associate Director QA at Subex from October 2020 to July 2023, George managed a team of over 40 members, ensuring the quality of Subex products. During the tenure at Netcracker Technology from October 2011 to September 2020, George established a new team in India for a product line and successfully led the testing and release of the first Network-as-a-Service. George’s career began at Subex in May 2003 as a Team Lead, delivering multiple Fraud Management Solution products. Educationally, George holds an MCA in Computer Applications from Bharathiar University and a Bachelor of Science in Physics from Mahatma Gandhi University.
This person is not in any teams
This person is not in any offices
e6data
3 followers
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