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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.

i think about my audience and what i want them to learn from the conversation so we can arrive at the right co-constructed decision. tha tmeans i communicate in the tone thats strongest for me, first, then adapted in voice for my particular colleagues. im consistent, but then meet them where they are or in the way theyre most likely to engage.

There's no single "best" way to prioritize a backlog, as the most effective approach depends on your specific context. However, here are some common methods and factors to consider:

Prioritization Techniques:

• Value vs. Effort: This method involves scoring each backlog item based on its perceived value to the user or business and the effort required to develop it.  Items with high value and low effort are prioritized for development first.

• MoSCoW Method: This prioritizes items based on urgency and importance.  MoSCoW stands for Must-have, Should-have, Could-have, Won't-have. Must-have items are critical functionalities, while Could-have are desirable but not essential.

• RICE Scoring (Reach, Impact, Confidence, Effort): This method assigns scores to each item based on factors like the number of users it impacts (Reach) and the level of confidence in its positive outcome (Confidence). This provides a more nuanced view than just value and effort.

Factors to Consider:

• Business Goals: Align your backlog with your overall product vision and business goals. Prioritize items that directly contribute to achieving those goals.

• User Needs:  Understand your user base and what problems they face. Prioritize backlog items that address the most critical user needs.

• Market Trends: Consider current market trends and how your product can stay competitive. Backlog items that capitalize on new opportunities might be prioritized.

• Dependencies:  Some backlog items might be dependent on others being completed first. Factor in these dependencies when prioritizing.

• Technical Feasibility:  Consider the technical feasibility of each item. Highly complex items with high risk might be de-prioritized in favor of more achievable tasks.