Nitesh kumar Singh

Engineered end-to-end ELT pipelines using AWS Glue, Lambda, S3, Snowflake, Snowpipe, and dbt, processing 5M+ records daily from 10+ source systems. Built a metadata-driven S3 data lake with automated data quality, governance, exception handling, and archival frameworks, achieving 95%+ data accuracy and reducing manual effort by 80%. Developed dbt transformations and Snowflake Fact & Dimension models for Power BI reporting, reducing duplicate records by 90% and improving query performance by 50%.

Software Engineer 1 - Infojini Inc.

• Noida, India

(2024-12)

• Engineered end-to-end ELT pipelines using AWS Glue, Lambda, S3, Snowflake, Snowpipe, and dbt, processing 5M+ records daily from 10+ source systems.
• Built a metadata-driven S3 data lake with automated data quality, governance, exception handling, and archival frameworks, achieving 95%+ data accuracy and reducing manual effort by 80%.
• Developed dbt transformations and Snowflake Fact & Dimension models for Power BI reporting, reducing duplicate records by 90% and improving query performance by 50%.