Priyanka Kare Email & Phone Number | • Around 9 years of experience as a Big Data Engineer and Data Analyst, comprises designing, developing, and implementing data models for enterprise-level applications. • Hands-on experience on significant components in Hadoop Ecosystem, including Spark, Hive, HBase- Hive Integration, PIG, Sqoop, Flume, MapReduce framework, and HDFS. • Experience using various AWS Services such as EMR, S3, and cloud watch, Lambda, GLUE to run and monitor Hadoop and spark jobs on AWS Environment. • Responsible for transforming and loading large sets of structured, semi-structured, and unstructured data. • Expertise in developing multiple Kafka Producers and Consumers as per the requirements. • Proficient in developing Spark applications using Scala and Python to transform the data by implementing data frames, data sets, and RDDs. • Developed scripts and batch jobs to monitor and schedule various spark jobs. • Hands-on experience with pyspark programming. • Hands-on experience with spark SQL for querying various business use-cases. • Performed Data Profiling and Data Analysis using SQL on different extracts. • Experience in developing a pipeline using Kafka to store data in HDFS. • Experience creating databases, users, tables, triggers, macros, views, stored procedures, functions, packages, and hash indexes in the Teradata database. • Good experience using Apache NiFi to automate data movement between various Hadoop systems. • Experienced in designing different time-driven and data-driven automated workflows using Oozie. • Strong knowledge of ETL data extraction, transformation, and loading methods in corporate-wide ETL Solutions and Data Warehouse tools for reporting and data analysis. • Experience configuring the Zookeeper to coordinate the servers in clusters and maintain data consistency. • Experienced in working with Amazon Web Services (AWS) using EC2 for computing and S3 as storage. • Experience importing and exporting the data using Sqoop from HDFS to Relational Database Systems and from Relational Database Systems to HDFS. • Experience in Designing, Architecting, and Implementing data pipelines for real-time and batch data \using GCP (Google Cloud Platform). • Extensive experience in the development of Bash scripting and PL/SQL scripts. • Proficient in relational databases like Oracle, MySQL, and SQL Server. • Knowledge of Integrated Development environments like Eclipse, NetBeans, IntelliJ, and STS. • Capable of working with SDLC, Agile, and Waterfall Methodologies. • Excellent Communication skills, Interpersonal skills, problem-solving skills, and a team player.

Priyanka Kare

• Around 9 years of experience as a Big Data Engineer and Data Analyst, comprises designing, develop...
United States

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Priyanka Kare’s Email priyanka.kare@unt.edu

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Priyanka Kare’s Location United States

Priyanka Kare’s Current Industry Cinch Home Services

Priyanka Kare’s Prior Industry Ntt Data | Kary Tech Solutions | Itc Infotech

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Work Experience

Cinch Home Services

Data Engineer

2021-11-01 00:00:00 - Present

Ntt Data

Data Engineer

2018-10-01 00:00:00 - 2021-09-01 00:00:00

Kary Tech Solutions

Etl Developer

2016-01-01 00:00:00 - 2018-09-01 00:00:00

Itc Infotech

Informatica Developer

2014-06-01 00:00:00 - 2015-12-01 00:00:00

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FAQ About Priyanka Kare

Priyanka Kare is located at
United States

Priyanka Kare is a • Around 9 years of experience as a Big Data Engineer and Data Analyst, comprises designing, developing, and implementing data models for enterprise-level applications. • Hands-on experience on significant components in Hadoop Ecosystem, including Spark, Hive, HBase- Hive Integration, PIG, Sqoop, Flume, MapReduce framework, and HDFS. • Experience using various AWS Services such as EMR, S3, and cloud watch, Lambda, GLUE to run and monitor Hadoop and spark jobs on AWS Environment. • Responsible for transforming and loading large sets of structured, semi-structured, and unstructured data. • Expertise in developing multiple Kafka Producers and Consumers as per the requirements. • Proficient in developing Spark applications using Scala and Python to transform the data by implementing data frames, data sets, and RDDs. • Developed scripts and batch jobs to monitor and schedule various spark jobs. • Hands-on experience with pyspark programming. • Hands-on experience with spark SQL for querying various business use-cases. • Performed Data Profiling and Data Analysis using SQL on different extracts. • Experience in developing a pipeline using Kafka to store data in HDFS. • Experience creating databases, users, tables, triggers, macros, views, stored procedures, functions, packages, and hash indexes in the Teradata database. • Good experience using Apache NiFi to automate data movement between various Hadoop systems. • Experienced in designing different time-driven and data-driven automated workflows using Oozie. • Strong knowledge of ETL data extraction, transformation, and loading methods in corporate-wide ETL Solutions and Data Warehouse tools for reporting and data analysis. • Experience configuring the Zookeeper to coordinate the servers in clusters and maintain data consistency. • Experienced in working with Amazon Web Services (AWS) using EC2 for computing and S3 as storage. • Experience importing and exporting the data using Sqoop from HDFS to Relational Database Systems and from Relational Database Systems to HDFS. • Experience in Designing, Architecting, and Implementing data pipelines for real-time and batch data \using GCP (Google Cloud Platform). • Extensive experience in the development of Bash scripting and PL/SQL scripts. • Proficient in relational databases like Oracle, MySQL, and SQL Server. • Knowledge of Integrated Development environments like Eclipse, NetBeans, IntelliJ, and STS. • Capable of working with SDLC, Agile, and Waterfall Methodologies. • Excellent Communication skills, Interpersonal skills, problem-solving skills, and a team player.