Big data Architect & Hands-on Lead - Distributed Systems & Software Engineering
San Francisco Bay Area
Charles Schwab
Technical Lead
November 2000 to November 2013
San Francisco
CDI Talent & Technology Solutions
Software Engineer
May 2000 to September 2000
Madison, WI
Apple
Senior Engineer/ Solution Architect
Sunnyvale
TubeMogul, Inc.
Sr. Data Engineer
November 2013 to March 2015
Emeryville
NTT DATA (Keane/ Metamor Global solutions)
Software Engineer
March 1998 to March 2000
Hyderabad, India
Wotec, Hyderabad, India
Post Graduate Diploma in Computer Applications
BPHSS
Madurai Kamaraj University, India
B.E., Engineering
The Johns Hopkins University
(through Coursera), R Programming
2015 to 2015
Stanford University
(through Coursera), Machine Learning
2014 to 2014
Architect and Lead a number of critical cross-domain Service-Oriented Architecture (SOA), Enterprise Application Integration (EAI) and Business Process Management (BPM) applications, using variety of technologies, primarily in Java language. Architect and Lead a number of critical cross-domain Service-Oriented Architecture (SOA), Enterprise Application Integration (EAI) and Business Process Management (BPM) applications, using variety of technologies, primarily in Java language.
What company does Rajan Rajendran work for?
Rajan Rajendran works for Charles Schwab
What is Rajan Rajendran's role at Charles Schwab?
Rajan Rajendran is Technical Lead
What industry does Rajan Rajendran work in?
Rajan Rajendran works in the Information Technology and Services industry.
Who are Rajan Rajendran's colleagues?
Rajan Rajendran's colleagues are Andreas Bigontina, Daniel Zuegner, Walter Nistico, Daniele Casaburo, Chavdar Papazov, Jakob Buchgraber, Christin Isabell Biergans, Rene Dingeldein, Sebastian Lieberknecht, and Béla Balázs
💼 Past Experience
Throughout his entire career, Rajan Rajendran has specialized in big data, data science, and machine learning. Large scale data DAOs, software engineering solutions for big data, Distributed Systems and Services Engineering (DSSE), and machine learning have all been his main areas of focus. Rajan is listed as a senior engineer with NTT DATA (Keane/Metamor Global solutions) from March 1998 to March 2000 in Hyderabad, India. During this time, he trained as a software engineer and worked with Java and others.Now, Rajan is currently a Technical Lead at Charles Schwab in San Francisco and has experience with a variety of technologies, including Spark, Kafka and Cassandra. He has also worked in data enrichment and transformation, and has experience with real-time streaming and batch applications. Rajan is rated as a senior data engineer with experience in machine learning.Overall, Rajan has worked in a number of challenging and innovative environments where he has learned how to use different technologies to build big data solutions. He is skilled in data science, data engineering, machine learning, and data enrichment and transformation. He is a reasoned and effective problem solver and has a clear understanding of how to use different technologies to build successful big data solutions.
🎓 Education
Rajan Rajendran's education has included post-graduate studies in computer applications, engineering, and then at theemberton·purcell·hamilton·saturne graduate school of business administration, where he studied computer programming and machine learning.attained a B.E. in engineering from Madurai Kamaraj University in 2014 and then completed a post-graduate program at the Johns Hopkins University in 2015, studying R programming and machine learning.
💡 Technical & Interpersonal Skills
Rajan Rajendran has a extensive work experience in big data, data science, and software engineering. Rajan Rajendran has also worked in the field of data enrichment and transformation. He has also been a software engineer for a company called TubeMogul, and in a team responsible for building a real-time streaming application. Additionally, Rajan Rajendran has worked closely with data scientists, and was a part of a machine learning team. He is also a senior data engineer at NTT DATA.
Introversion (I), Intuition (N), Thinking (T), Judging (J)
4 year(s), 3 month(s)
Unlikely
Likely
There's 86% chance that Rajan Rajendran is seeking for new opportunities
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