Dec 2025 – Present · 4 mos · Toronto, Ontario, Canada · Remote

Jun 2025 – Present · 10 mos · Toronto, Ontario, Canada

Jun 2025 – Dec 2025 · 6 mos · Mississauga, Ontario, Canada · On-site

• As a Lead Data Engineer at Pharma Medica Research Inc., I led the end-to-end modernization of our clinical data ecosystem — migrating on-premises SQL Server data into a secure cloud environment through a custom self-hosted gateway and private network integration to protect highly confidential research data.
• I architected and automated incremental ingestion pipelines based on a Medallion-style layered architecture (Bronze–Silver–Gold) to enable scalability, governance, and consistent performance across analytical workloads.
• I also optimized large-scale data tables to support seamless incremental updates, schema evolution, and high-speed querying for expanding datasets. By integrating curated data into interactive dashboards, I empowered research and compliance teams with near real-time insights that accelerated decision-making.
• Most importantly, this platform eliminated a legacy third-party analytics tool costing $300K annually, cutting overhead, improving compliance, and delivering a unified, modern data foundation for future growth.

May 2023 – Jun 2025 · 2 yrs 1 mo · Toronto, Ontario, Canada

• I led the development of real-time data pipelines that reduced fraudulent transaction response times from 24 hours to just 15 minutes, preventing losses exceeding $3 million annually. To strengthen compliance and reporting efficiency, I optimized high-volume SQL workflows for terabyte-scale datasets, reducing end-to-end processing times by 40% and enabling daily regulatory checks instead of weekly cycles.
• I also designed a scalable data warehouse model to consolidate information from five disparate financial systems, improving data lineage visibility and cutting reconciliation errors by 30%. In parallel, I automated trade reconciliation and reporting processes, eliminating more than 20 hours of manual effort each week and reducing settlement failures by 25%.

Jan 2020 – Dec 2021 · 1 yr 11 mos

• I designed and optimized data integration pipelines for global inventory systems, reducing processing time by 35% and improving stock accuracy to 96.8%, which enabled real-time visibility and faster supply chain decisions. I also led the migration of legacy inventory systems to a modern cloud data platform, ensuring scalable analytics, 25% lower storage costs, and zero downtime during the transition.
• To further enhance operational efficiency, I automated daily inventory reconciliation processes, saving over 15 manual hours per week and reducing discrepancies by 40% across 50+ warehouses worldwide. By collaborating with Supply Chain, Finance, and BI teams, I developed a centralized data model that improved demand forecasting accuracy by 20% and lowered excess inventory costs by $1.2 million annually.