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Lead design and governance of KPIs, semantic layers, and analytics assets. Perform advanced SQL tuning across RDS/Oracle/Redshift and cost-aware Athena querying. Build reproducible Python analyses, data validation, anomaly detection, deep-dive analytics, source-to-target mapping, and drive BI dashboard UX and version-controlled analytics engineering practices.

Support design, build, and maintenance of ETL pipelines using Python and PySpark. Develop workflows with AWS Glue, Lambda, and Step Functions. Work with S3, Redshift, RDS, and Oracle; write complex SQL for extraction, transformation, validation, and reporting. Implement monitoring, logging, and error handling. Ingest/process API and JSON payloads. Collaborate with engineers, analysts, and stakeholders; contribute to code management, documentation, and deployment support.

Assist in building and maintaining ETL pipelines using Python and PySpark; develop workflows with AWS Glue, Lambda, and Step Functions; work with S3, Redshift, RDS, and Oracle; write complex SQL for extraction, transformation, and reporting; implement monitoring, logging, and error handling; ingest API/JSON data; collaborate with engineers, analysts, and stakeholders; support code management, documentation, and deployments.

Lead design and governance of KPIs and semantic layers. Deliver advanced SQL performance tuning across RDS/Oracle/Redshift and cost-efficient Athena queries. Use Python for reproducible analyses, automation, and data validation. Define data quality expectations, implement automated checks and anomaly detection, perform deep-dive analyses, and maintain source-to-target mappings. Improve query performance and establish version control and peer-review practices for analytics assets.

Senior Business Analyst with 8+ years IT experience driving requirements, documenting business needs, and aligning technical and non-technical stakeholders. Leverages deep Property & Casualty insurance knowledge, agile delivery methods, and strong communication to coordinate project deliverables and recommend process improvements.

Design and implement scalable batch and near-real-time data pipelines and storage on AWS. Define data patterns across S3, Redshift, Athena, RDS, and DynamoDB. Build event-driven integrations, enforce data quality/observability, optimize performance, lead production troubleshooting, support cloud/data migrations, review designs and code, and drive CI/CD and deployment automation best practices.

Design and build robust automation frameworks, own the testing lifecycle, test UI with Playwright, validate APIs/integration and CI/CD gates, test agentic AI workflows and failure handling, mentor teammates, and drive quality engineering best practices.

Design, build, and deploy scalable .NET Core microservices and full-stack applications on AWS. Participate in SAFe/Agile ceremonies, consume AWS CDK templates, implement CI/CD pipelines, ensure observability with CloudWatch and X-Ray, maintain unit tests and API documentation, and collaborate with distributed teams to deliver high-performance, production-ready services.

Design, build, and maintain ETL pipelines and orchestration on AWS using Python/PySpark. Integrate APIs and event-driven systems, optimize storage/querying (Redshift/RDS/Oracle/S3), implement data quality and monitoring, support CI/CD deployments, and collaborate with stakeholders to deliver data solutions.

Lead data analysis by translating business questions into KPIs and dashboards. Query and optimize data across RDS, Oracle, Redshift, and Athena. Perform data profiling on S3 datasets, write Python (pandas) for analysis and light automation, document lineage in Confluence, manage work in Jira, and collaborate with engineers on schemas and SLAs.