Marco Emanuele

• • Data Governance & Data Standards Implementation: Played a key role in a new team focused on Data Governance and assisting data standards operations.

• • Orchestrated data governance initiatives, working closely with the Data Standards team to rationalize data modification requests and set comprehensive data policies.

• • Focused on attribute-level data quality, assessing correctness within value chains rather than just individual products.

• • Developed and utilized ETL processes using SQL and Python to cleanse and transform data.

• • Created and presented dashboards (Power BI) to senior management, highlighting critical data areas and actionable insights.

• • Defined and presented project roadmaps for data governance and new operational models, including resource management for incoming team members.

• • Evaluated advanced data governance technologies like Informatica (for data lineage mapping) and Azure/Databricks (for automated Spark cluster ETLs).

• • Implemented robust data management practices including data cataloging, classification, and KPI-based database health evaluations (completeness, consistency).

• • Managed confidential data by defining and implementing permission structures.

• • Conducted data modeling for dashboard creation, including defining primary keys to link database

• • Supervised and analyzed key operational metrics, including inbound package volume, dispatch flow, and unprocessable package rates, ensuring targets were met.

• • Developed Python functions to predict and tag packages likely to be delayed or unprocessable, using truck arrival data.

• • Responsible for comprehensive reporting, including the construction and utilization of Quicksight dashboards to provide a "health status" of Delivery Stations.

• • Coordinated operational shifts and held responsibilities for specific occasions.

• • Proficiently utilized VBA, Excel, ETL, S3, and Databricks for data export, analysis, and reporting

• • Spearheaded weekly production order planning and monitored lead times to ensure efficient manufacturing.

• • Proactively predicted and managed supply chain delays, adjusting production schedules based on critical component arrivals.

• • Developed and automated a production planning tool using R Studio and Python to streamline weekly orders, accounting for variables like lead times and component availability.

• • Operated within an Agile framework with Sprints for implementing SAP functionalities.

• • Coordinated extensively with suppliers and producers, presenting reports and updates.

• • Designed and implemented a unified dashboard and a weekly meeting structure to ensure all stakeholders (internal team, managers, suppliers) had real-time status updates