Lakshmi Priyanka

I am a Senior Data Engineer with over six years of experience designing and delivering scalable, cloud-native data pipelines and analytics solutions across telecom, retail, financial services, and healthcare domains. I specialize in AWS, GCP, Azure, Terraform, and building automated ETL, data lakes, and warehouses to drive data-driven decisions.

My work has reduced processing latency and operational costs while enabling real-time analytics, predictive models, and MLOps; notable accomplishments include implementing AWS Glue/S3/Redshift pipelines that improved operational efficiency by up to 40% and reducing batch latency by 50% through event-driven orchestration. I lead migrations of legacy systems to cloud-native solutions and integrate GenAI and ML pipelines for fraud detection, risk assessment, and customer scoring.

I mentor junior engineers, establish DataOps/CI-CD practices, and enforce governance and compliance (HIPAA, SOX, CCPA) while optimizing cost and performance across multi-cloud environments. I bring a pragmatic, security-first approach to building reliable, reproducible data platforms that accelerate business outcomes.