Parth Anand Email & Phone Number
@pitneybowes.com
LinkedIn matched
Who is Parth Anand? Overview
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Parth Anand is listed as Data Architect at Rakuten Symphony, based in New Delhi, Delhi, India. AeroLeads shows a work email signal at pitneybowes.com and a matched LinkedIn profile for Parth Anand.
Parth Anand previously worked as Senior Technical Team Lead at Rakuten Symphony and Senior Technical Lead (E-Rank) at Rakuten India.
Email format at Rakuten Symphony
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AeroLeads found 1 current-domain work email signal for Parth Anand. Compare company email patterns before reaching out.
About Parth Anand
Parth Anand is a Data Architect at Rakuten Symphony. He possess expertise in mapreduce, apache spark, hive, elasticsearch, apache kafka and 11 more skills.
Listed skills include Mapreduce, Apache Spark, Hive, Elasticsearch, and 12 others.
Parth Anand's current company
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Parth Anand work experience
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Senior Technical Team Lead
Senior Technical Lead (E-Rank)
Lead Engineer
Senior Software Engineer
Senior Software Developer
Frequently asked questions about Parth Anand
Quick answers generated from the profile data available on this page.
What company does Parth Anand work for?
Parth Anand works for Rakuten Symphony.
What is Parth Anand's role at Rakuten Symphony?
Parth Anand is listed as Data Architect at Rakuten Symphony.
What is Parth Anand's email address?
AeroLeads has found 1 work email signal at @pitneybowes.com for Parth Anand at Rakuten Symphony.
Where is Parth Anand based?
Parth Anand is based in New Delhi, Delhi, India while working with Rakuten Symphony.
What companies has Parth Anand worked for?
Parth Anand has worked for Rakuten Symphony, Rakuten India, Airtel X Labs, and Pitney Bowes.
How can I contact Parth Anand?
You can use AeroLeads to view verified contact signals for Parth Anand at Rakuten Symphony, including work email, phone, and LinkedIn data when available.
What skills is Parth Anand known for?
Parth Anand is listed with skills including Mapreduce, Apache Spark, Hive, Elasticsearch, Apache Kafka, Big Data, Hadoop, and Cassandra.
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