Summary
Srimal Jayawardena is a Data & Analytics Manager with nearly two decades of experience building and leading analytics teams across government and private sectors, currently shaping Aurecon’s analytics strategy. He combines hands-on expertise in ML/AI, PySpark/Databricks big data engineering, and advanced Power BI/DAX with a track record of delivering practical solutions—from predictive asset maintenance for city stormwater networks to energy anomaly detection for local governments. Comfortable across Azure, AWS, GCP and hybrid environments, he bridges data engineering, applied data science and visualization to turn complex, heterogeneous data into operational insight. His background spans research-grade computer vision work (including an OpenCV SfM contribution) to enterprise BI and productionized ML pipelines, reflecting a rare blend of academic rigor and delivery-focused engineering.
14 years of coding experience