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l, I initially built automation scripts for trade reconciliations and reporting using standalone Python and UNIX-based cron jobs. These worked well for smaller data volumes, but as our operations scaled across global teams in London, Hong Kong, and the Bahamas, performance and maintainability became a bottleneck.

I realized I needed to adapt my workflow to better support large-scale, distributed processes. So, I changed how I worked by migrating critical pipelines from PostgreSQL and flat scripts into a more robust ETL framework using Databricks and Delta Lake. I restructured batch processes into streaming jobs and modularized the Python code to be production-grade. I also started using Kafka and Kubernetes to improve system reliability and orchestration.

Had to launch a pilot in an emerging market with limited resources and budget. Took the time to plan and understand the greatest opportunities in the market and prioritized them based on level of effort and impact we would have as a pilot team. Evaluated the risks and dependencies I had with other teams such as GTM and Sales and with a bias for action and informed prioritization executed where I could. This led to double digit growth +20% at the end of the year and secured the funding we needed to "go big" in it next year.