Teams at Spark Eighteen

Build and maintain scalable data platforms, including Airflow ingestion pipelines, Kafka streaming, Spark workloads, data lakes, and database solutions. Develop secure, containerized applications for air-gapped environments; optimize ingestion, queries, and production performance. Ensure data quality, lineage, observability, and SLA compliance while translating customer needs into data products. Create documentation and operational runbooks, troubleshoot production issues, and collaborate with engineers, analysts, and business stakeholders.

Develop and optimize MySQL databases, including schemas, queries, indexes, migrations, security, availability, and production troubleshooting. Build ETL and data movement workflows using Airflow, MySQL tools, or scripts, while supporting reporting, analytics, application development, incident response, and root-cause analysis. Collaborate with engineering and data teams to maintain reliable database environments and pipelines involving PostgreSQL.

Develop and deploy production machine learning systems for fall detection and health risk scoring. Build classical ML models, engineer features from radar and point-cloud data, contribute to pose estimation, and create Databricks training and inference pipelines. Own model evaluation and false-alarm reduction for a safety-critical system, monitor deployed models, and mentor team members while working in a fast-moving environment.