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Assessing your cultural and operational fit
Founder at Dataeaze Systems| IITB| We make data work for growth of your business
Ajit is a technophile, a team-oriented, and a self-motivated professional. He has a decade of experience in big data analytics with added specialties in Distributed Data Processing. Ajit's work is strongly driven by the ability to plan, build, strategize and implement the relevant technology in the right manner. Dataeaze is his initiative towards using his expertise to make companies' data work for the growth of their business. Dataeaze provides a host of services. Below are a few of them: 1) Dataeaze assist organizations to build their analytics data strategy around a modern data platform. 2) Organizations assisted by dataeaze get the benefit of quick bring up of robust data platform with analytics capabilities brought up as per need. 3) The data platform created by Dataeaze enables a full set of data analytics capabilities like Scheduled ETL, interactive data processing, BI and real-time stream analysis. 4) Dataeaze also assists organizations to build Data Lake on-premise or on cloud (with on-demand services). 5) Dataeaze enables automatic data consolidation and analytics across data. For more details, feel free to check out the website-www.dataeaze.io Let Dataeaze revolutionize the way you handle big data. Let's connect!
Indian Institute of Technology, Bombay
M Tech, Computer science
January 1, 2007 – January 1, 2009
COEP Technological University
B Tech, Computer science
January 1, 2003 – January 1, 2007
dataeaze systems
Founder
August 1, 2015 – Present
Pune
Talena, Inc
Senior Software Engineer
June 1, 2013 – January 1, 2015
Pune Area, India
PubMatic
Sr Software Engineer
April 1, 2012 – May 1, 2013
PubMatic
Software Engineer
November 1, 2010 – April 1, 2012
AMCC
Software Engineer
August 1, 2009 – November 1, 2010
Audience
December 1, 2010 – October 1, 2012
Design and development of a highly scalable software system for User Targeting in internet advertising(storing more than 1 billion records), and application performance tuning for optimal performance. Implemented extensible hierarchical taxonomy that will classify users online and help in targeting for Advertising. Carried some performance tests on MongoDB for benchamarking, evaluation its performance with different FileSystem(Ext3, XFS etc) and plotting with gnuplot. MongoDB snapshot utility using LVM Snapshot Developed custom MongoDB Montioring utility Written Mapreduce jobs on Hadoop to generate reports(BigData) and analysis. Implemented prefix and postfix conversion for faster rule evaluation of custom Audience Requerment- the same can be provided by UI by Users. Implemented Audience RTB Insights reporting from RTB logs.
Cultural Fit Analysis
The candidate's diverse experience across different companies (AMCC, PubMatic, Talena, dataeaze systems) and roles (Software Engineer, Sr Software Engineer, Founder) indicates adaptability and a broad perspective. The entrepreneurial background at dataeaze systems, focusing on AI modernization, data strategy, and GenAI, suggests an innovative and growth-oriented mindset. The project 'Audience' demonstrates a deep dive into a specific, complex problem domain, indicating a strong commitment to technical challenges. The target role of 'Big Data Engineer' aligns well with the candidate's historical experience in building and enhancing Big Data ecosystems. However, the lack of explicit team collaboration or project diversity beyond data engineering in the provided descriptions limits a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
The candidate's experience as a founder and senior engineer suggests strong leadership, problem-solving, and strategic thinking. The project descriptions indicate an ability to work with complex systems and optimize performance, which aligns with operational fit for a senior role. However, without psychometric or English test results, a definitive assessment of communication clarity, work attitude, stress handling, and team collaboration is not possible.