Sumit pal

Sumit is an Ex Gartner VP Analyst in Data Management & Analytics space.

At Gartner I used to advice CTOs, CDOs, CDAOs, Enterprise Architects and Data Architects 

on Data Strategy, Data Architectures, implementation and choosing tools,

frameworks and vendors for building data platforms and end to end data driven systems

As a part of Gartner Analysts - Sumit has advised  to hundreds of organizations and CDOs over the last 5 years and provided

guidance, insights, trend analysis on best practices with technology to solve their complex data challenges

Sumit can span the spectrum - from formulating data strategy with CDO/CTO teams to architecting, 

designing and building data platforms and solutions to writing, deploying and debugging code in 5 different programming languages.

Sumit has  more than 25 years of experience in the data and Software Industry in various roles spanning companies from startups to 

enterprise organizations.

Sumit has  expansive experience in building, managing and guiding teams and building scalable software systems across the stack from middletier, data layer, 

analytics and UI using BigData, NoSQL, DB Internals, Data Warehousing, Dimensional Modeling, Data Science and Java / J2EE aspects of the technology.

Sumit has  extensive hands on experience in the data and software industry 

- Hands on Data engineer/architect - as an Independent consultant building Data Lakes and Data Platforms from - 2014-2018

- Hands on Technical Director at Verizon (USA), building their Big Data Analytics team from 2012-2014

- data engineer at startup like ModelN (CA, USA) building their Analytics Platform from 2006-2012

- being a developer in the Oracle Database Development Team from 1997-2004

- being a developer in the Microsoft SQLServer Development Team from 1995-97

Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to 

enterprise organizations in building, managing and guiding teams and building scalable software systems across the stack from middletier, data layer, 

analytics and UI using BigData, NoSQL, DB Internals, Data Warehousing, Data Modeling, Data