Proven leader in data engineering with a focus on managing complex data projects that drive business insights and innovation. Specializing in data architecture, governance, and implementation of cutting-edge data lake and warehousing solutions. Partnering effectively with cross-functional teams to deliver efficient, secure, and scalable data solutions.- Leading the adoption of DataEdo to streamline data cataloging, documentation, and governance, enhancing data discoverability and compliance across the organization.- Developing and enforcing robust data governance and management strategies to ensure data quality, privacy, and security, in collaboration with stakeholders across departments.- Spearheading the end-to-end deployment of an AWS data lake, optimizing data ingestion, storage, and analytics workflows to empower analytics and data-driven decisions.- Driving the setup of a Snowflake Data Warehouse, enabling efficient, scalable, and real-time data processing and analytics, ensuring seamless integration with other data systems.- Collaborating with Architecture, DevOps, and Solutions Engineering teams to implement networking, CI/CD pipelines, monitoring, and alerting for a highly efficient, secure, and resilient data infrastructure.

- Architect and engineer cloud solutions. - Build and maintain data pipelines- Manage version control repositories and software releases- Build stakeholder relationships and deliver expectations- Refactor and optimize technical debt

Helping customers unlock their data, enabling data driven decision making. Past products include:- Cloud computing solutions- Azure and AWS application development- ETL/ELT solutions

Design data solution architecture, execute data engineering processes, develop business intelligence solutions. - Collaborate with multi-level stakeholders to identify business needs. Plan and develop end-to-end data architecture solutions.- Engineer data pipelines to ingest data from various sources using ELT/ETL processes. ( API, flat file, web scraping, FTP, SQL/NOSQL...)- End-to-end relational and non-relational data warehouse design. Data schema architecture, data modeling, row-level security, testing, tuning, and implementation.- Develop business intelligence solutions.- Lightweight application development and REST API development. (NodeJS, React, Flask, Django, .NET)- Data Mining using Pandas, Seaborn, SSAS, Scikit learn.

- Database design, management, and reporting through Microsoft SQL Server, SSMS, SSRS, Access, and Excel.- Light application development to automate repetitive daily tasks using Python and JavaScript.- Primary responsibilities: importing robust data sets, cleaning data, and modeling data to identify opportunities throughout the operation.- Maintain customer-facing web portals to enhance communication with fuel carriers and support staff.

- Ensure that all patrons and guests are greeted and welcomed in a professional andcourteous manner.- Merchandise purchases and maintain established acceptableinventory levels ensuring profitability through inventory turnover and cost of salescontrol guidelines.- Assist with development of the annual operating budget, and manage by that budget, controllinggeneral expenses for the entire golf operation- Develop and maintain schedules for sales staff, shopcoordinators, locker room staff, and outside operations staff. - Develop marketing budget and maintain web presence.