Engineered automated ETL pipelines and innovative data acquisition models, significantly bolstering the scale and robustness of our data infrastructure, leading to enhanced data-driven decision making.Pioneered automated data acquisition models using Python, leveraging publicly accessible GraphQL APIs, Azure's Form Recognizer for PDF extraction, and web scrapers, thereby streamlining data sourcing and improving overall system efficiency.Championed data integrity, spearheading initiatives for extending site application reach and usability into new regions, thereby driving user growth and enhancing the platform's geographic footprint.

Conceptualized, designed, and implemented robust backend software infrastructure, underpinning a rapidly expanding tech platform in the civil construction sector, significantly contributing to the platform's growth and scalability.Established automated CI/CD pipelines via Terraform and Github Actions, dramatically accelerating infrastructure deployments and database migrations, thereby improving overall operational efficiency.Masterminded the application's data storage layer leveraging AWS Aurora and Redshift databases, ensuring optimal data security, integrity, and retrieval speed.Conceived and constructed a sophisticated logic layer and comprehensive API suite using AWS Lambda Functions and API Gateway, facilitating seamless interoperability and boosting overall application performance.

Spearheaded a team of accomplished data analysts, optimizing company-wide reporting and bolstering business decision-making; developed a bespoke SQL training program, enhancing the proficiency of incoming analysts, and increasing team productivity.Collaborated closely with executive leadership to orchestrate compelling quarterly and annual earnings presentations, bolstering public relations and transparency, while driving over $100M in additional investments through effective investor outreach.Leveraged advanced data mining techniques to unearth untapped market segments, refining targeting strategies, and thereby driving business growth and diversification.

Devised and executed advanced machine learning models, driving a significant increase in marginal revenues by over $10M, while innovating reporting methods to facilitate the creation and optimization of algorithmically-driven customer acquisition models.Utilized Microsoft SQL Server for generating backend SQL tables and procedures, providing comprehensive analytics support for new business initiatives and thereby facilitating data-driven decision-making and business expansion.

· Provided supplemental instruction and material to students in MATH 365· Assisted students with learning class material· Held review and exam preparation sections

· Assisted real estate team with customer outreach and data entry· Conducted market research for potential acquisitions and customers· Assisted in data integration of new company acquisition

· Communicates with customers and strengthens customer relations· Personally increased incremental store credit by $76,000· Excellent history of electronic and mobile device sales

· Recruited and provided leadership to interns and volunteers· Collected and analyzed vast amounts of voter data· Communicated directly with local constituents

Organized transaction receipts and observed grain market movements

· Managed and organized large datasets of financial information· Created expense report functions to minimize travel costs· Worked closely with the marketing team to create seasonal advertising campaigns