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Priyanka Auti
Senior Data Engineer at Dataeaze System.
Education Overview
• savitribai phule pune university
Companies Overview
• dataeaze systems
Experience Overview
5.8 Years
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Experience
Skills
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Airflow
Algorithms
Amazon Elastic MapReduce (EMR)
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
apache
Apache Airflow
Apache Hive
Apache Spark
Artificial Intelligence (AI)
Automation
AWS Lambda
Azure
Azure Data Factory
Azure Databricks
Backend
Computer Vision
Convolutional Neural Networks (CNN)
Cryptography
Data Engineering
Data Science
Data Scientist
Databricks
Deep Learning
Design
DevOps
Docker
Extract, Transform, Load (ETL)
Hadoop
HDFS
Hive
Java
Jenkins
Kafka
linux
Machine Learning (ML)
Matplotlib
Microsoft Azure
MongoDB
MySQL
Neural Networks
oozie
OpenCV
optimization
Pandas
Pandas (Software)
PostgreSQL
Powershell
pyspark
Python
Pytorch
Research
Research Scientist
Sagemaker
SAP
Scala
Scikit
Scikit-Learn
security
Shell Scripting
Software Engineer
Sqoop
storage
Vision
Windows
Contact Details
Email (Verified)
priXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX08Education
savitribai phule pune university
Master's degree
2016 - 2018
Frequently asked questions
What company does Priyanka Auti work for?
Priyanka Auti works for dataeaze systems
What is Priyanka Auti role in his workplace?
Priyanka Auti's role in his workplace is Senior Data Engineer
What is Priyanka Auti's tenure in his workplace?
Priyanka Auti's tenure in his workplace is 3.42 years
What is Priyanka Auti's total experience?
Priyanka Auti's total experience is 5.83 years
What is Priyanka Auti's LinkedIn profile?
What is Priyanka Auti's email address?
What is Priyanka Auti's phone/WhatsApp number?
What schools did Priyanka Auti attend?
Priyanka Auti has attended savitribai phule pune university
What companies has Priyanka Auti worked with?
Priyanka Auti has worked with dataeaze systems, dataeaze systems, dataeaze systems
What are some of Priyanka Auti's skills?
Priyanka Auti has skills in Airflow, Algorithms, Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon S3, Amazon Web Services (AWS) and more.
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