Greeshma Paidipalli

Data Engineer @Truist

Irving, TX, US

As part of the NZ RePlatform initiative, I work on designing and optimizing large-scale data migration and ingestion pipelines to modernize the enterprise data warehouse from Netezza to Snowflake. My role spans both development and testing, ensuring scalability, automation, and data quality across multiple layers of the platform.Designed and implemented end-to-end ETL workflows in Snowflake, including schema mapping, data profiling, and SQL DDL scripting – reduced mapping errors by 90%.Built ETL pipelines in Talend and Snowflake, integrating Python and SQL transformations to cleanse and enrich data across Silver and Gold layers for analytics.Automated metadata-driven ingestion using MapDocs and Python utilities, enabling schema-driven DDL generation and improving scalability.Developed a Python ingestion wrapper with checkpoint-restart and detailed logging, reducing recovery time for failed jobs by 80%.Created and managed ESP scheduler jobs (DTF, CD, File Trigger, UNIX) to orchestrate and monitor pipeline dependencies.Optimized SQL queries, joins, and stored procedures in Snowflake to support large-scale ELT pipelines.Leveraged Hive and Python (Pandas) for data extraction, transformation, cleansing, and analysis of large datasets.Performed data validation and reconciliation testing, ensuring accuracy and compliance of migrated data across ingestion layers.Partnered with QA, business, and platform teams to support UAT, defect resolution, and production releases.

Malla Reddy Engineering College for women

Bachelor's degree, Computer Science

University of North Texas

Master's degree, DATA SCIENCE