Raja kumari B

• Built ETL/ELT pipelines processing multi-terabyte financial datasets on Azure and GCP using Apache Airflow, dbt, Snowflake, and BigQuery • Designed data warehouse models for risk, compliance, and fraud analytics with 35% query performance improvement • Developed production REST APIs using FastAPI and Flask for financial analytics and compliance platforms • Built AI chatbot backend using Python, LLMs, RAG pipelines, FAISS, and Pinecone vector databases for customer-facing financial services • Implemented OAuth2, JWT, MFA, and PCI-DSS compliant authentication and data governance across all backend services • Developed interactive dashboards and analytical reporting solutions using Sigma Computing and Snowflake for financial reporting and business insights at Truist Financial. • Built CI/CD pipelines using GitHub Actions, Docker, and Terraform across AWS, Azure, and GCP multi-cloud environments • Optimized Snowflake SQL queries, data models, and reporting workflows to improve dashboard performance, data accuracy, and enterprise analytics delivery.

• Designed clinical ETL pipelines on AWS and GCP using PySpark, Cloud Composer, Apache Airflow, and dbt • Delivered BigQuery and Amazon Redshift data warehouse solutions for oncology and research analytics teams • Built HIPAA-compliant REST APIs using FastAPI and Flask for clinical data access and analytics platforms • Developed async Python services using asyncio and Celery for near real-time clinical data processing • Reduced data quality failures by 40% through Python validators, Pytest test suites, and dbt schema testing • Developed healthcare analytics dashboards and reporting solutions using Sigma Computing and Snowflake to support patient, claims, and operational reporting initiatives. • Built and optimized Snowflake-based SQL queries, data models, and ELT workflows to deliver secure, high-performance healthcare analytics and reporting solutions. • Maintained CI/CD pipelines using GitHub Actions and Docker for reliable, validated production deployments

• Designed Snowflake and Amazon Redshift data models across 12+ banking domains for credit risk, compliance, and customer analytics • Built real-time streaming pipelines using Apache Kafka and AWS Kinesis for fraud analytics and transaction monitoring • Developed Python REST APIs using Flask with OAuth2 and JWT for regulated banking data access and audit tooling • Implemented data quality and anomaly detection frameworks using Python validators and Pytest for financial pipelines • Deployed containerized Python services on Kubernetes with autoscaling using GitLab CI/CD and Terraform on AWS • Automated infrastructure provisioning using Terraform and AWS CloudFormation for version-controlled data environments

• Built Python ETL pipelines loading terabyte-scale insurance claims and policy datasets into Amazon Redshift and PostgreSQL • Designed Star Schema data models for claims adjudication, actuarial analysis, and regulatory compliance reporting • Developed REST APIs using Flask and Django with JWT authentication for insurance analytics applications • Implemented event-driven data pipelines using Apache Kafka and Python asyncio for near real-time data streaming • Built CI/CD pipelines using Jenkins and Git with Pytest for automated testing and zero-downtime deployments • Enforced data quality and SOX compliance through Python and SQL validation frameworks across insurance pipelines

• Built Python ETL pipelines using Pandas and SQLAlchemy consolidating data from Oracle, SQL Server, and flat files into PostgreSQL • Wrote and optimized SQL and T-SQL queries in PostgreSQL and SQL Server for high-performance analytical reporting • Designed normalized relational data models applying indexing and referential integrity for analytical workloads • Automated recurring data ingestion and validation workflows using Celery task queues and cron-based scheduling • Built lightweight Flask dashboards with Plotly and Pandas for KPI visualization and business reporting • Used Git and Agile practices for version-controlled collaborative development with peer code review standards