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Scalable Data Platform and Machine Learning
Designed and developed several production quality projects and features using following technologies at most successful companies to work for serving 100's of millions of users - Beam / Flink, Kafka, Redis, Spark, Clickhouse, Hudi, Iceberg, Druid, Kubernetes, MySQL, HBase, Cassandra, Solr, MongoDB, Hive, Flume, Oracle etc. Very good knowledge of real life problem solving algorithms using most efficient data structures, 20+ years of development experience with good understanding of Java/JVM/C++ along with scala, go and python. surajwaghulde@gmail.com https://scholar.google.com/citations?user=-5p5AWoAAAAJ&hl=en http://surajwaghulde.blogspot.com/
The University of Texas at Dallas
MS, Computer Science
January 1, 2006 – January 1, 2008
NCST Juhu
Computer Science
January 1, 2003 – January 1, 2004
University of Mumbai
Bachelor of Computer Engineering, Computer Science
January 1, 1999 – January 1, 2003
Zeta Global
Senior Staff Engineer
January 1, 2025 – Present
TickerRank Inc
Technical Advisor
January 1, 2023 – January 1, 2024
Nile
Senior Staff Engineer
January 1, 2023 – January 1, 2025
San Francisco Bay Area · Hybrid
TickerRank Inc
Co-Founder
January 1, 2022 – January 1, 2023
Intuit
Realtime Machine Learning Data Infrastructure
February 1, 2020 – October 1, 2022
Mountain View, California, United States
HoneyCombData Inc
Senior Staff / Architect
December 1, 2018 – December 1, 2019
Mountain View, California, United States
Apple
Machine Learning Data Infrastructure (Tech Lead)
January 1, 2016 – December 1, 2018
San Francisco Bay Area
Samsung Electronics America
Staff Engineer / Architect
February 1, 2014 – January 1, 2016
San Jose
salesforce.com
Member of Technical Staff
January 1, 2011 – January 1, 2014
San Francisco Bay Area
Yahoo!
Technical Yahoo! Research Engineer
January 1, 2010 – September 1, 2011
Sunnyvale
Developer Intern
May 1, 2008 – August 1, 2008
Cisco
Software Engineer
January 1, 2008 – January 1, 2010
San Jose
IBM T J Watson Research Center
Research Intern
May 1, 2007 – August 1, 2007
Atos Origin
Manager / Software Engineer
February 1, 2004 – June 1, 2006
JMS Detailing
Junior Engineer
January 1, 2003 – January 1, 2004
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior Big Data Engineer role, given their extensive experience across various prominent technology companies (Google, Yahoo!, Apple, Intuit, Salesforce) and startups. Their work on diverse projects, from distributed stream computing to real-time ML platforms and custom storage engines, indicates adaptability and a broad technical interest. The co-founder experience also suggests an entrepreneurial mindset and ability to drive innovation, which aligns well with dynamic, fast-paced environments. The breadth of skills and technologies mentioned across different roles points to a continuous learning and growth mindset.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Senior Staff Engineer, Tech Lead, Co-Founder) suggests strong operational fit and soft skills such as leadership, problem-solving, and strategic thinking. Descriptions of spearheading development, scaling platforms, and directing initiatives indicate a proactive and impactful approach. However, without specific psychometric test results or interview data, a definitive assessment of collaboration, stress handling, and work attitude is not possible.