Hareesh A Email & Phone Number

Dallas, Texas, United States

• Involved in the entire Software Development Life Cycle – Analysis, Design, and Development – and coordinated with the team using Agile Methodologies.
• Implemented PySpark for data processing to handle data from various RDBMS and streaming sources; used Redshift for the Data Warehouse service.
• Built an end-to-end data pipeline and performed analytics using the AWS stack (EMR, EC2, S3, RDS, Lambda, Glue, SQS, Redshift).
• Implemented end-to-end data quality checks and monitoring… Show more
• Implemented end-to-end data quality checks and monitoring alarms for ETL pipelines, minimizing data delay friction.
• Solely maintained Amazon Redshift cluster and AWS architecture, automating data pipelines and supporting data lakes.

Hyderabad, Telangana, India

• Served as a Data Engineer, responsible for Data modelling, Data migration and Designing ETL pipelines for both cloudand on-premises environments.
• Possess strong knowledge of Apache Spark components including Spark CORE, Spark SQL, and Spark Streaming
• Configured Spark Streaming to receive real time data from Apache Kafka and store streamed data to HDFS using Scalaand PySpark.
• Involved in loading and transforming large datasets of Structured, Semi-Structured and… Show more
• Involved in loading and transforming large datasets of Structured, Semi-Structured and Unstructured data and analyzed them using Hive queries.
• Performed Extract, Transform and Load operations from Source Systems to Azure Data Storage services leveragingAzure Data Factory, Spark SQL and Azure Data Lake Analytics.

- Facilitated both in-person and virtual meetings to gather and document business requirements. Secured signoffs from stakeholders to ensure alignment with project goals.- Effectively converted business requirements and user expectations into detailed specifications using Unified Modeling Language (UML). Utilized tools like ERWIN and MySQL Workbench to.