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Senior Data Engineer @U.S. Bank
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WORK HISTORY
Senior Data Engineer @U.S. Bank
Irving, TX, US
Collaborating with leads to understanding project requirements and creating functional specifications for AWS-based data platforms. Led the initiation of a Data Governance project to address data security and compliance requirements. Implemented data classification policies to categorize data based on sensitivity and regulatoryrequirements. Ensured consistent tagging of data assets to enforce security and compliance standards. Established data lineage tracking to visualize the flow of data within the organization. Conducted impact analysis to assess the consequences of data source changes on downstream processes. Implemented data quality improvement measures, including data profiling, data cleansing, anddata monitoring. Configured AWS S3 buckets with policies for automatic archiving of infrequently accessed data tostorage classes. Developed the robust ETL pipeline in AWS Glue to integrate data from on-premises to cloudand applied transformations using PySpark to load the enriched data to Snowflake. Developed the Scalable ETL pipeline using PySpark on AWS Glue, loaded the enriched data into Snowflake. Used CICD pipelines to Implement AWS and snowflake infra using GitHub actions. Implemented AWS and Snowflake resources using python code. Used CDK stack to implement the AWS infrastructure and Schema change to implement the snowflake infrastructure. Implemented Sage maker backup process in SBD analytics account and Life Exploratory account as part of remediation work. Implemented Sage maker restore process in Life Exploratory account Dev and documented therestoration process. According to enterprise standards certified GitHub repos. Implemented integration test cases insnowflake and unit test cases for AWS constructs.
EDUCATION
Sree Vidyanikethan Education Trust (SVET), Tirupati
Bachelor's Degree, Computer Science
ABOUT K HITEN REDDY
Results-driven Data Engineer with 11+ years of experience designing scalable ETL pipelines, optimizing data processing, and delivering ctionable insights through advanced analytics and machine learning. Proficient in Python, SQL, AWS services, and real-time data streaming, with a strong track record of improving data workflows, reducing forecasting errors, and enhancing operational efficiency across enterprise-scale environments through automation, visualization, and cross-functional collaboration.
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