M Mrudula Reddy

I am a results-driven Data Engineer with over six years of hands-on experience designing, building, and optimizing cloud-native data platforms across AWS, Azure, and GCP. I build scalable ETL/ELT pipelines, data warehouses, and real-time streaming solutions to deliver timely business insights.

My work includes substantial Snowflake, Redshift, and BigQuery implementations where I improved query performance and reduced processing times through partitioning, clustering, and query tuning. I automate infrastructure and deployments using Terraform, CloudFormation, and CI/CD tooling to ensure repeatable, reliable provisioning.

I have delivered cost and performance improvements—examples include reducing query times by up to 40%, cutting storage costs by 25%, and improving pipeline efficiency by 40% through automation and optimization. I collaborate closely with data scientists, analysts, and cross-functional teams to productionize analytics and ML workflows.

I bring a pragmatic, security-first approach to data engineering, implementing RBAC, IAM, encryption, and governance controls, while leveraging modern tools like dbt, Airflow, Spark, and Python to reduce manual effort and drive data quality and reliability.