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Swapnali Metkari
Cloud Data Engineer
About
Swapnali Metkari is a skilled Data Engineer with over 4 years of experience in the Big Data platform. She has extensive hands-on experience in Apache Hadoop ecosystem and enterprise application development. Her expertise lies in developing data transformation layers, ETL frameworks using big data technologies such as Hive, Spark, and Sqoop. Swapnali has also developed Data pipelines to extract incremental data loads from different sources like Oracle, Teradata, Snowflake using Pyspark, AWS, Datastage, Sqoop, and Hive. Swapnali has hands-on experience with Amazon EC2, Amazon S3, Amazon RDS, EMR, Athena, and other services of the AWS family. She is well-versed with Big Data Ecosystems such as Hadoop, MapReduce, HDFS, Zookeeper, Hive, and Sqoop. She is also proficient in Spark Streaming Technologies such as Spark and Kafka. Swapnali is skilled in scripting languages such as Python, Scala, and Bash. She has worked with databases such as Data warehouse, Oracle, Teradata, and Snowflake. She is well-versed with methodologies such as Agile and Waterfall. Swapnali also has experience in Orchestration using Control-M. Currently working as a Big Data Developer at Syntel, Swapnali has previously worked as a Business Technology Analyst at Deloitte. She holds a Bachelor's degree in Information Technology from the Government College of Engineering, Karad. With over 6.20 years of relevant experience, Swapnali's technical stack includes Data Engineering, Big Data, AWS, Spark, Snowflake, Hadoop, Apache Hive, HDFS, Amazon Athena, Data Warehouse, MapReduce, Kafka, ETL, Python, and Scala. She is a dedicated professional with a passion for solving complex data engineering problems.
Education Overview
• government college of engineeringkarad.
Companies Overview
• deloitte
• syntel
Experience Overview
7 Years
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Experience
Skills
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Algorithms
Amazon Athena
Amazon crawler
Amazon Elastic MapReduce (EMR)
Amazon Relational Database Service (RDS)
Amazon S3
Amazon Web Services (AWS)
analytics
Apache Ambari
Apache Hive
Apache Kafka
Apache Spark
Application Programming Interfaces (API)
AWS Lambda
Big Data
Data Engineering
Data Pipelines
Data Processing
Data Structures
Extract, Transform, Load (ETL)
Hadoop
hdfs
Hive
Java
Microservices
optimization
PySpark
pyspark
Python
Python (Programming Language)
RDBMS
Scala
Snowflake
spark core
SQL
Sqoop
Yarn
Contact Details
Email (Verified)
dreXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
government college of engineeringkarad.
BE
2013 - 2017
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