Naren Gangadi is a seasoned Big Data Engineer with 10 years of experience, specializing in cloud data platforms and big data technologies. He possesses deep expertise in the full data lifecycle, including ingestion, transformation, and consumption, utilizing tools like Azure Data Factory, Spark, and Hive. His background also includes foundational experience in Mainframe technologies such as COBOL and DB2.
Experience
Data Engineer
JPMorgan Chase pvt ltd
Ingestion: Validating data and ingesting it into Delta and Hive tables from various data sources (Sql Server, Google Analytics Tables, Flat files, XML etc.) using Sqoop, Scala. Integration: Applying transformations and incremental updates on ingested data and existing curated data as per business requirement using Scala/Hive optimization. Consumption: Feeding the transformed data to downstream systems using Scala/Sqoop. Developed and scheduled pipelines using ADF and ADB (ingestion, integration, & consumption). Good working experience on Spark core, Spark SQL, and improving performance/optimization of algorithms in Hadoop using Spark Context, Spark SQL, Data Frame, and Pair RDD’s.
Big Data Training
IBM pvt Limited
Trained on Big Data technologies including Spark, Hadoop (HDFS, Map Reduce), Hive, SQOOP, Pig, Hbase, Linux, Scala, and Python. Worked on business use cases and mini-projects covering ingestion, integration, and consumption. Also gained experience in Mainframe technologies, including COBOL, DB2, JCL, and production support roles on Z/OS/MVS.
Education
JNTU University, Kakinada
Bachelor of Technology
Licenses & Certifications
JPMorgan Certified BigData Developer
JPMorgan
JPMorgan Certified Spark Developer
JPMorgan
Microsoft Certified Azure Fundamentals (AZ-900)
Microsoft