Manager, Data Engineering & Governance at Cineplex Entertainment (2022-06 – Present)
Provide technical leadership and strategic input as part of the core team leading the organization's data integration and transformation roadmap, supporting modernization to Azure Databricks and Synapse cloud environments. Supervise and mentor a high-performing team of 4 data engineers, while coordinating with 15+ analysts, business users, and data scientists to deliver high-impact data products and insights. Facilitate collaboration with business stakeholders to align technical delivery with business transformation goals, ensuring transparency through dashboards, KPI scorecards, and agile reporting cycles.
- Facilitated daily stand-ups, retrospectives, and sprint reviews to sustain agile delivery momentum, encourage feedback, and foster continuous learning among engineers.
- Architected Medallion-based Lakehouse solution (Bronze/Silver/Gold) for 50+ enterprise datasets. Implemented a metadata-driven pipeline framework (DLT-META) to enable scalable ingestion, reducing development time by 80%.
- Implemented Unity Catalog–based governance and data quality framework, integrating lineage, metadata classification, and access policies across cloud data estate.
- Championed adoption of emerging Databricks capabilities (Genie, Declarative Pipelines), enhancing declarative pipeline orchestration and enabling adaptive streaming workflows.
- Drove enterprise-wide standardization of metadata-driven ADF pipelines and automated logging, reducing new ETL build time by 60% and eliminating redundant manual maintenance.
- Automated data quality checks and configured alerts for Azure Synapse, Databricks, and ADF job executions. Logged data issues, troubleshot failures, performed root cause analysis, and enhanced code stability and job scheduling.
- Partnered with external stakeholders, such as Scene+, Prodco, and Studios, to ensure SLA adherence and performance reliability, resolving integration issues and leading joint troubleshooting sessions to restore critical workloads.
Senior Data Engineer at Cineplex Entertainment (2020-02 – 2022-06)
- Developed and productionized PySpark transformation pipelines in Databricks to power ML feature stores for personalization and predictive analytics initiatives.
- Led the design and deployment of ADF data ingestion frameworks integrating structured and semi-structured data sources, cutting load times from 3 hours to 20 minutes by introducing an incremental idempotent approach.
- Delivered real-time analytics via Azure Stream Analytics and Event Hub for ticket flash-sale monitoring, supporting near-instant business response capabilities.
- Served as primary escalation point for ETL/ELT performance and quality issues, resolving bottlenecks and implementing automated recovery scripts for failed pipelines.
- Automated CI/CD delivery using Azure DevOps, streamlining releases, standardizing approval workflows, and enhancing deployment confidence across data teams.
SQL BI Developer at Cineplex Entertainment (2017-05 – 2020-02)
- Designed and maintained 30+ SSIS integration workflows for Vista POS, PeopleSoft, and Microsoft CRM data sources, achieving a 97% reliability rate.
- Developed data warehouse solutions and dimensional models supporting Finance, Marketing, and Operations stakeholders—reducing query latency by 55%.
- Collaborated with Finance and Marketing teams to deploy automated BI dashboards in Power BI and SSRS, improving KPI tracking and executive reporting.
- Implemented automated ETL monitoring and alerting processes that reduced support tickets by 40%.
Database Developer / DBA at Southwestern University of Finance and Economics (2000 – 2016)
- Designed and maintained Oracle and SQL Server databases supporting 16,000+ students and 1,000+ faculty users across multiple administrative systems.
- Optimized database performance through indexing, partitioning, and query tuning, achieving 25% improvement in system responsiveness.
- Provided leadership in resolving data integrity and application performance issues, ensuring 24x7 reliability for mission-critical workloads.
