About Us

At Elephant Scale, our mission is to offer high quality services and training Big Data ecosystem. Our principals have been practicing Big Data before it was a buzz word. We understand Big Data, its potentials and its limits. We will bring our hands-on expertise to solve your problems.

  • Training without a vendor bias
  • We offer vendor neutral Hadoop training – no hidden agendas.
  • Big Expertise in Big Data
  • Please see our services
  • We love open source
  • We believe in open source. Check out our open source page.

Mark Kerzner, Co-Founder & President


Mark is an experienced, hands-on Big Data architect. He has been developing software for over 20 years in a variety of technologies and for a variety of verticals (Hightech, Healthcare, O&G, Legal, Fintech). He currently focuses on Machine Learning and AI, Blockchain, Spark, NoSQL, and Amazon and Google Cloud platforms. Mark has been delivering training for individuals and corporations; his classes are hands-on and draw heavily on his industry experience.

Mark runs Houston Hadoop&Spark Meetup, sits on the Ethereum test board, advises on Blockchain technologies, and contributes to open source projects.


Sujee Maniyam, Co-Founder & CEO


Sujee has been developing software for 15 years. In the last few years he has been consulting and teaching Hadoop, NOSQL and Cloud technologies.
Sujee stays active in Hadoop / Open Source community. He runs a developer focused meetup and Hadoop hackathons called ‘Big Data Gurus’. He has presented at variety of meetups.

Sujee contributes to Hadoop project and other open source projects. He writes about Hadoop and other technologies on his website.



Timothy Fox, Big Data Architect


Timothy Fox is an experienced Big Data Architect and Data Science Consultant, specializing in Machine Learning and Deep Analytics at scale. He has consulted for many companies large and small and has taken his expertise to Europe, the Middle East, and South Asia as well.

Timothy is active in organizing Hadoop, Spark, and Data Science meetups as well as speaking about topics of interest to Big Data professionals.