u/sWeepy127

Some background about me, I currently work in the education field as a data analyst but have experience in the healthcare sector

https://docs.google.com/document/d/12Cp0nhz-XriWi6cExA6kKzCZHj_UtLv030WDrHA2ZPo/edit?usp=sharing

thanks for helping!

I was rejected with this response.

https://preview.redd.it/bmqe827bx45h1.png?width=493&format=png&auto=webp&s=3fde0d8874ce9645e303ecd4e1b7f277270fd418

the experience descriptions are here

Project Title	Organization	Job Title	Functional Reporting Area	Organization Primary Focus	Approach / Methodology	Project Team Size	Project Budget	Project Start	Project End
Data Migration	zxc	Data Configuration Analyst	IT	Healthcare	Agile	1-4	up to 1m	09/2024	09/2025
Data Refinery Rollout	zxc	Data Configuration Analyst	IT	Healthcare	Waterfall	1-4	up to 1m	09/2022	09/2024

Data Refinery (Agile)

The project was initiated to modernize the organization's data integration framework by replacing legacy SQL-based transformation processes with a scalable Databricks and PySpark solution. The primary stakeholders and Product Owners were members of the Integration Team, as they were responsible for onboarding and processing new datasets. Because the solution would directly impact their workflows and implementation speed, they provided ongoing guidance regarding business needs and desired capabilities.

I collaborated with the project sponsor, Integration Team, and technical stakeholders to define the product vision, establish project objectives, identify high-level requirements, and develop the project charter. Initial discussions focused on understanding process bottlenecks and identifying opportunities to create a more efficient and reusable data pipeline framework.

Working closely with the Integration Team, I facilitated requirement-gathering sessions and collaborated with stakeholders across Data Engineering, Integration Services, Business Operations, and Technical Support teams to identify features and technical solutions that would improve data onboarding efficiency.

These discussions resulted in a prioritized product backlog consisting of user stories focused on automation, reusable transformations, error handling, monitoring capabilities, and deployment efficiencies. User stories were documented and prioritized in Jira based on business value and implementation effort.

I facilitated sprint planning sessions where the team selected high-priority backlog items, established sprint goals, and created sprint backlogs. During backlog refinement activities, the team reviewed requirements, estimated effort, identified dependencies, and adjusted priorities based on stakeholder feedback and evolving business needs.

The project was delivered through multiple iterative sprints. Throughout execution, I facilitated daily stand-up meetings to discuss completed work, upcoming activities, and impediments. These meetings promoted transparency, accelerated issue resolution, and maintained alignment across development and integration teams.

The team developed and tested incremental features during each sprint. Working sessions with stakeholders were conducted regularly to validate assumptions, gather feedback, and refine requirements. Prototypes and product increments were demonstrated throughout the project to ensure the solution continued to meet business objectives. I also coordinated testing activities, validated transformed datasets, and verified that acceptance criteria were met before features were considered complete.

Throughout the project, I monitored sprint progress using Jira and burndown metrics, tracked risks and blockers, and facilitated backlog refinement sessions. I monitored sprint velocity, managed dependencies, and ensured deliverables aligned with the product vision and stakeholder expectations.

Following completion of multiple sprints, a Sprint Review was conducted to demonstrate completed product increments and gather feedback. The team then conducted a Retrospective to identify improvements and discuss how components of the framework could be leveraged across other areas of the organization.

After stakeholder approval, the solution was released into production. I coordinated knowledge transfer activities and transitioned ongoing maintenance and operational support responsibilities to the TechOps team. The project reduced implementation time for onboarding new datasets by approximately 30% while establishing a reusable foundation for future data integration initiatives.

Data Migration:

The project was initiated to migrate approximately 30 legacy clients from an outdated SQL server environment to a modern data lake architecture utilizing Databricks and PySpark. The objectives were to transfer client raw files, stored procedures, transformed datasets, workflows, and reporting outputs while retiring the legacy server infrastructure. The project aimed to improve network performance, reduce infrastructure maintenance costs, and modernize data processing capabilities for legacy clients.

During the Initiating Process Group, I collaborated with project sponsors and key stakeholders to identify business needs, define project objectives, evaluate migration requirements, and develop the project charter. I identified stakeholders impacted by the migration and documented high-level requirements, assumptions, constraints, and success criteria.

During the Planning Process Group, I facilitated requirements gathering sessions with stakeholders from Data Engineering, Operations, and Client Services to define project scope and deliverables. I contributed to the development of the scope management plan, schedule management plan, communications management plan, and risk management plan. I assisted in creating the work breakdown structure (WBS), identifying project activities, estimating effort, establishing project milestones, and documenting dependencies. I also performed risk identification, qualitative risk analysis, and response planning to minimize potential migration and operational impacts.

During the Executing Process Group, I coordinated migration activities across multiple teams and supported the transfer of client data, workflows, stored procedures, and reporting outputs to the new data lake environment. I facilitated stakeholder engagement, managed project communications, and collaborated with technical teams to ensure requirements were implemented according to approved specifications. I supported quality management activities by validating migrated datasets, conducting testing, and verifying that deliverables satisfied acceptance criteria.

During the Monitoring and Controlling Process Group, I tracked project progress against the approved schedule and scope baseline, monitored risks and issues, managed change requests, and communicated project status to stakeholders. I reviewed deliverables to ensure compliance with quality requirements and worked with stakeholders to address variances, dependencies, and project constraints.

During the Closing Process Group, I presented completed deliverables to stakeholders, obtained formal acceptance of the migration effort, and coordinated the final release of client data into the production data lake environment. I conducted lessons learned sessions, archived project documentation, and transitioned ongoing operational support responsibilities to the Operations team. The project successfully migrated all legacy clients to the new platform, enabled retirement of the legacy server infrastructure, improved overall network performance, and reduced long-term infrastructure maintenance costs.

any help on why i got rejected, and if there's any hope to prove that I really did do these things?

Thank you!