Big data enthusiast experienced in developing high performance Hadoop, Spark applications using AWS EMR and Cloudera distributions.Contributed in design and development of MPP near real time and batch data ingestion frameworks for RDBMS and file sources using Spark, Sqoop and SparkStreaming. Having comprehensive experience in implementing ETL transformations and data pipelines in AWS Glue, SQL Server, Informatica PowerCenter and Spark. Deployed highly optimised Hive, Impala, AWS Athena, AWS Redshift Spectrum schemas, tables and views on top of AWS S3, HDFS, AWS Redshift data lakes and wearhouses. Experienced in working with structured and semistructured data along with different file formats like Parquet, CSV, Json and Text. Good hands-on knowledge of visualization and business intelligence tool Power BI, Have good understanding of Azure DevOps and GitHub for version control.
BDBalaji Dange
@balajidange
I'm an AWS Data Engineer with 4.4 years' of experience in AWS and on-premises big data technologies.
IndiaExperience
Associate Big Data Engineer
Cognizant
Nov 2021 - Present (2 years 7 months)
Designed and developed automated data ingestion framework, implemented robust data transformation logic, and optimized Redshift cluster performance and cost.
COWorked on data preparation for critical spend data using micro batches, automated data extraction from IHS and Coupa API's, and developed data transformation pipelines in AWS Glue.
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