Rajita Madhikarmi

I am a results-oriented Data Engineer and Business Analyst with 6+ years building cloud-native data platforms across AWS, Azure, and GCP. I design and maintain ETL/ELT pipelines, real-time streaming workflows, and data warehouses to deliver accurate, timely analytics.

I have led migrations from legacy systems to Snowflake/Databricks and implemented Delta Lake, dbt models, and Airflow orchestration, improving query performance and reducing pipeline failures. I routinely process multi-terabyte daily workloads and ensure HIPAA/GDPR-compliant governance and RBAC.

I partner closely with product, AI/ML, and business stakeholders to translate requirements into production-ready data products, dashboards, and predictive workflows. I mentor junior engineers and champion cloud modernization and best practices in CI/CD, observability, and cost optimization.

My technical toolkit includes Python, PySpark, SQL, Spark, Kafka, Flink, Snowflake, and orchestration and infra tools like Airflow, Terraform, Docker, and Kubernetes. I seek roles where I can drive data platform reliability, governance, and business impact.