Nagarjuna Goud Gunjapalli

Performed multi-region resiliency testing (AWS MRR) for critical scenarios in home lending servicing applications; led migration of data from Teradata to Snowflake; implemented SSL certificate automation reducing 80% of manual effort; resolved data quality issues within AWS Data Lake; transformed business requirements into scalable data pipelines and analytics-ready datasets; designed and developed enterprise-scale ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake following Medallion architecture; collaborated with global stakeholders and analytics teams; performed BAU activities; implemented CI/CD for ETL applications; maintenance and enhancement of Ab Initio pipelines.

Developed data pipelines using Microsoft Azure (Data Factory, Databricks, SQL Server) and Ab Initio (GDE, Control Center); implemented Delta Lake for data lake management; cleaned and transformed data from multiple sources and loaded it into a Delta Lake; optimized SQL queries for efficiency; resolved customer data-related queries for risk analysis; completed code reviews and migrated the code to CI/CD; mentored junior team members; followed Agile methodologies; developed ETL/ELT processes for a Data Warehouse from OLTP systems using Ab Initio.

Created pipelines using Azure Data Factory to move on-premise data to Data Lake storage; implemented and optimized data pipelines using Azure Databricks, Azure SQL Server, and Synapse Analytics; addressed data integrity issues through data quality techniques; supported the Philippines Credit Information System in maintaining high data quality; collaborated with stakeholders for requirements gathering and trained Business Analysts.