When facing tight deadlines, I focus on what’s critical and align with stakeholders early to avoid wasted effort. I use incremental loads, automation, and pre-built connectors for efficiency. Quality checks happen upfront to prevent rework. I build quick prototypes, gather feedback, and adjust fast. If working with a team, we develop in parallel. Cloud tools and query optimizations keep processes smooth. The goal is simple: deliver usable insights quickly—stakeholders need answers, not perfection. Refinement comes later.

📊Break down tasks into smaller, achievable milestones. ⚙️Leverage automation tools to reduce manual work and improve efficiency. 📢Communicate frequently with stakeholders to align expectations. ���Prioritize critical data pipelines to ensure business continuity. 🔍Conduct quick data quality checks to prevent integration issues. 🛠Use scalable cloud-based solutions to handle high data loads efficiently. 🤝Engage key stakeholders early to prevent last-minute surprises.

Communication is Key. When you agree to a tight dealine, you always let the stakeholder know that it is a uphill task but we will work to make it happen as much as possible.. With the fast moving world, to be competitive, we need to work with tight deadlines that is possible to achieve. 1. In general, I would also try to understand the absolute necessity from the stakeholder upfront when the project starts. This way we first work to deliver the Minimum Viable product and then continue further. 2. Also it it important to assess the progress during the course of project to have early detection of possible delays. This way, the stakeholders are given enough time to plan alternatives. These would be 2 important points I will consider

It depends on SOW. you can break the deliverables into phases and get the approval from the stakeholders showing the big picture and the challenges with data and integration quality. Then align the team and the tasks.