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Rekha Chaudhary
Big Data Engineer | PySpark | Python | ETL | Hive | SQL
About
Rekha Chaudhary is a skilled Data Engineer with a focus on building Big Data systems to provide a unified analytics platform. With expertise in PySpark, Python, ETL, Hive, and SQL, she has extensive experience in conceptualizing and implementing data pipelines. Her ability to convert data into informational insights has helped organizations make data-driven decisions. Rekha is currently a Software Engineer at uproi digital pvt. ltd. and has previously worked as an Associate Software Engineer at editsoft digital. Rekha holds a Bachelor of Technology in Electrical, Electronics and Communications Engineering from dr. a.p.j. abdul kalam technical university, which she completed in 2012. Her tech stack includes SQL, Data Engineering, Big Data, Python, ETL, Apache Hive, HDFS, Spark, MapReduce, AWS, Integration, Cassandra, and Hadoop. With relevant experience of 0.27 years, Rekha has proven herself to be a valuable asset to any team she works with. Her ability to think critically and problem-solve has helped her to design and implement efficient data pipelines that provide actionable insights. Rekha's passion for technology and her expertise in data engineering make her a valuable addition to any organization looking to build or improve their Big Data systems.
Education
• dr. a.p.j. abdul kalam technical university
Companies
• tantrabyte
• editsoft digital
Experience
6.3 Years
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Amazon S3
Amazon Web Services (AWS)
analytics
apache
Apache Hive
Apache Spark
Azure
Azure Data Factory
Big Data
Cassandra
Data Engineering
Data Integration
Data Pipelines
Data Processing
Education
Extract, Transform, Load (ETL)
Hadoop
HBase
HDFS
Hive
Integration
MapReduce
Microsoft Azure
Music
optimization
pyspark
Python
Search Engine Optimization (SEO)
social media
SQL
Sqoop
Stored Procedures
Yarn
Contact Details
Email (Verified)
chaXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX07Education
dr. a.p.j. abdul kalam technical university
Bachelor of Technology - BTech
2012 - 2016
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