Teams at AgileEngine

Design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows that automate data validation, troubleshooting, and operational processes. Develop reusable frameworks, implement data quality and monitoring controls, optimize workloads, and support testing, deployment, productionization, and ongoing enhancements. Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Design, optimize, and productionize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows that automate data validation, troubleshooting, and operational processes. Develop reusable frameworks, implement quality controls and monitoring, optimize performance, and support testing, deployment, productionization, and ongoing enhancements while collaborating with business, data engineering, and platform teams.

Reviews and approves outbound email campaigns before deployment. Validates content, personalization, audience segmentation, suppression logic, data integrity, links, tracking parameters, platform settings, brand standards, and compliance. Logs defects, coordinates resolutions with Development, owns QA sign-off gates, investigates post-launch quality issues, and improves testing documentation, checklists, and standards.