Priyesh Goyal

Priyesh Goyal Email and Phone Number

Data Engineer | Big Data Engineer | Azure Cloud | ADF | PySpark | Databricks | ADLS | Hadoop | HDFS | ETL | Hive | MySQL | NoSQL | Linux |Cloudera | GIT @ ZingMind Technologies
Priyesh Goyal's Location
Indore, Madhya Pradesh, India, India
About Priyesh Goyal

I am a passionate about Big Data and Cloud technologies my expertise spans Apache Hadoop, Spark, Sqoop, Hive, HBase, and pyspark, with a solid foundation in Azure Cloud Services. I’ve successfully executed data migration, ETL processes, and optimized data pipelines, integrating Azure Databricks Spark with Azure Services to enhanced performance and transform and store Data.Also optimized data analysis pipelines using Apache Spark, employing techniques such as schema creation, bucketing, and partitioning and optimization techniques. Moreover, my expertise extends to integrating Apache Spark with Apache Hive and Azure cloud, enabling fast read operations and facilitating efficient transformations and actions on RDDs in Apache Spark.I am committed to continuous learning and staying at the forefront of industry trends, ready to contribute to innovative projects in Software Development, Big Data, and Cloud Technologies.

Priyesh Goyal's Current Company Details
ZingMind Technologies

Zingmind Technologies

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Data Engineer | Big Data Engineer | Azure Cloud | ADF | PySpark | Databricks | ADLS | Hadoop | HDFS | ETL | Hive | MySQL | NoSQL | Linux |Cloudera | GIT
Priyesh Goyal Work Experience Details
  • Zingmind Technologies
    Data Engineer
    Zingmind Technologies Oct 2024 - Present
    Indore, Madhya Pradesh, India
  • Techlene Software Solutions Pvt. Ltd.
    Hadoop Developer Internship
    Techlene Software Solutions Pvt. Ltd. Jan 2019 - Feb 2019
    Indore, Madhya Pradesh, India

Frequently Asked Questions about Priyesh Goyal

What company does Priyesh Goyal work for?

Priyesh Goyal works for Zingmind Technologies

What is Priyesh Goyal's role at the current company?

Priyesh Goyal's current role is Data Engineer | Big Data Engineer | Azure Cloud | ADF | PySpark | Databricks | ADLS | Hadoop | HDFS | ETL | Hive | MySQL | NoSQL | Linux |Cloudera | GIT.

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