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Rushikesh Jadhav
Data Engineer @Persistent | PySpark | Databricks | Big Data | ML | AWS | Azure
Education Overview
• bits pilani birla institute of technology and science
• jspms jayawantrao sawant college of engineering handewadi road hadapsar pune 28.
Companies Overview
• persistent systems
• zensar
Experience Overview
0.9 Years
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Experience
Skills
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Amazon Web Services (AWS)
Apache Spark
Azure
Azure Data Factory
Azure Databricks
Big Data
Blockchain
C++
Databricks
Design
Machine Learning
Machine Learning (ML)
Microsoft Azure
MLflow
Node.js
PySpark
pyspark
Python
Python (Programming Language)
quality assurance (QA)
React.js
Retail
security
Solidity
SQL
strategy
test
testing
Contact Details
Email (Verified)
rusXXXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX30Education
bits pilani birla institute of technology and science
Master of Technology - MTech
2023 - 2025
jspms jayawantrao sawant college of engineering handewadi road hadapsar pune 28.
Bachelor of Engineering - BE
2018 - 2022
Frequently asked questions
What company does Rushikesh Jadhav work for?
Rushikesh Jadhav works for persistent systems
What is Rushikesh Jadhav role in his workplace?
Rushikesh Jadhav's role in his workplace is Senior Software Engineer
What is Rushikesh Jadhav's tenure in his workplace?
Rushikesh Jadhav's tenure in his workplace is 0.34 years
What is Rushikesh Jadhav's total experience?
Rushikesh Jadhav's total experience is 0.92 years
What is Rushikesh Jadhav's LinkedIn profile?
What is Rushikesh Jadhav's email address?
What is Rushikesh Jadhav's phone/WhatsApp number?
What schools did Rushikesh Jadhav attend?
Rushikesh Jadhav has attended bits pilani birla institute of technology and science, jspms jayawantrao sawant college of engineering handewadi road hadapsar pune 28.
What companies has Rushikesh Jadhav worked with?
Rushikesh Jadhav has worked with persistent systems, persistent systems, persistent systems, zensar
What are some of Rushikesh Jadhav's skills?
Rushikesh Jadhav has skills in Amazon Web Services (AWS), Apache Spark, Azure, Azure Data Factory, Azure Databricks, Big Data and more.
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