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 scalable data warehouses and ETL solutions in Azure, consolidating over 300 data pipelines

from diverse sources to enhance data accessibility and analytics capabilities.

• Automated end-to-end data processes, including ingestion, transformation, monitoring, and integration, ensuring high data quality and significantly accelerating time to insight for clients.

• Orchestrated the adoption of Microsoft Fabric for a unified analytics platform, integrating Power BI, Spark, OneLake, and Data Factory to streamline data pipelines and reporting.

• Successfully managed and developed solutions for two separate client projects, delivering effective solutions within deadlines, consistently ensuring project milestones are achieved

• 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

• 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.