Amped Data Solutions provides businesses and nonprofits with the solutions to unlock the full potential of their data and execute their goals. Transform data into understandable, actionable information, saving businesses time and resources. • Led the development of multiple data warehouses and ETL/ELT solutions in Azure, consolidating over 250 data pipelines from diverse sources. • Optimized data accessibility and reporting efficiency with Spark to transform raw client data, along with implementing system-versioned tables to ensure the integrity and usability of final datasets for client reporting. • Constructed Synapse Analytics pipelines to pull and store data from various data sources, ensuring data integrity and reliability • Designing and deploying Azure infrastructure components such as virtual machines, storage accounts, web apps, and networking • Designing and creating efficient and secure database systems, while monitoring and optimizing their performance • Producing and implementing Azure logic apps, Azure function apps, and various other cloud resources • Simultaneously managed and developed solutions for two separate client projects, delivering high-quality results and maintaining project timelines

• Analyzed client data to deliver customized analytics, insights, and reports • Utilized SQL, Power BI, and Power Query to clean, prep, and prepare data (ETL/ELT processes) July 2022 - January 2023 • Developed and presented meaningful visualizations and data models using Tableau and MS Power Suite (Power BI, Power Automate, PowerApps) to facilitate better business decisions

The Revedia Audit project aimed to develop a cloud-based software solution that automates the SymphonyAI audit process. This platform streamlines linear and digital audits and features functionalities such as automated data ingestion, channel lineup database, payment validation, variance detection, and dynamic report generation. • Engineered a robust backend rules engine using Azure Databricks, enabling the seamless execution of business rules to drive transformative data processing and analysis • Played a key role in developing the application, delivering a secure, scalable, and cost-effective solution that notably enhanced the audit process for media and entertainment stakeholders • Leveraged proficiency in Python, Apache Spark, and SQL to orchestrate efficient and high-performance backend data engineering processes • Designed and implemented 22 independent Python functions to transform raw billing and payment data into structured formats, enabling the definition of complex business rules and enhanced system performance • Collaborated closely with frontend developers to craft a user-centric experience across all processes, ensuring optimal usability and engagement for stakeholders • Served as the lead Azure Data Engineer on the backend team, resulting in a 1-year contract extension for delivering impactful data solutions that optimized the audit process.

Syracuse University is proud to partner with Google Research to launch an undergraduate student research engagement program, RESORC (Research Exposure in SOcially Relevant Computing). Participated in workshops on exposure to many research areas of CS and Google Tensorflow workshops.

Worked with Brody’s Chief Operating Officer to make valuable insights and edits to the company’s main website. Researched and learned HTML and PHP to create a more efficient and more organized website for users. Participated in virtual webinars to strengthen knowledge of web application optimization