B N Keerthana

Data Engineer with 2+ years of experience building and supporting data transformation and ETL solutions using Python, SQL, SQL Server, Snowflake, and ETL tools in enterprise environments. Experienced in data validation, reconciliation, production troubleshooting, source-to-target mapping, CI/CD, and multi-environment deployments. Strong analytical and problem-solving skills with experience working across development, UAT, and production workflows.

Associate Software Engineer at Accenture (2024-07 – Present)

• Designed and maintained ETL/ELT pipelines using Python and SQL to ingest, transform, validate, and deliver enterprise datasets across downstream systems.
• Developed and optimized SQL transformations and stored-procedure-based processing, improving pipeline performance by approximately 30%.
• Worked extensively with SQL Server and Snowflake for data transformation, validation, reconciliation, and analytics-ready data preparation.
• Implemented data quality checks and reconciliation logic to identify data inconsistencies, transformation defects, and downstream data issues.
• Investigated production failures through root-cause analysis, reducing recurring pipeline issues and downtime by approximately 25%.
• Managed source-to-target mappings, transformation rules, technical documentation, and data processing workflows across Dev, UAT, and Production environments.
• Supported automated deployments and release activities using Git and Azure DevOps CI/CD, following controlled change-management practices.
• Worked in Linux environments to monitor, troubleshoot, and support production data pipelines; collaborated with cross-functional teams to resolve data and application issues.