Summary

Data Analytics Engineer with expertise in designing scalable ELT pipelines, relational data warehouses, and analytics platforms using Python, SQL, and cloud technologies across Azure and AWS. Proven ability to integrate APIs, automate workflows, and deliver analytics-ready datasets and dashboards supporting enterprise reporting, commercialization, and research operations. Strong background in backend development, data modeling, and governance to ensure reliable, secure, and high-performance data systems.

Experience

Rutgers University — Office for Research | Senior Data Analytics Engineer

Piscataway, NJ • Feb 2023 – Present

  • Designed and maintained API-driven ELT pipelines ingesting agreements, patents, and financial data into analytics-ready SQL datasets for reporting.
  • Built structured relational schemas supporting revenue tracking, portfolio analytics, and historical trend analysis for licensing and commercialization stakeholders.
  • Implemented automated validation checks and access controls to flag inconsistencies and enforce role-based security across reporting layers.
  • Delivered stakeholder-facing dashboards using SQL and Tableau for operational reporting, revenue insights, and compliance monitoring.
  • Built Power Apps and Power Automate workflows with Azure integrations to automate licensing, legal, and compliance processes across teams.

Rutgers University — Wu Quantum Sensing Lab | Research Associate

Newark, NJ • Sep 2022 – Sep 2023

  • Supported calibration and optimization of experimental systems generating high-frequency measurement data, improving stability and data reliability.
  • Refactored MATLAB-based simulations into Python to model real-time atomic behavior under varying physical parameters to support experimental analysis.

Digital Studio Dev LLC | Salesforce Developer (Client: Support Center for Nonprofits)

Hybrid • Sep 2022 – May 2023

  • Built API-based data pipelines integrating donor, program, and engagement data into Salesforce.
  • Enabled unified reporting and analytics consumption through Tableau.

Digital Studio Dev LLC | Developer & Patent Support Engineer (Client: Elpizo Fund LLC)

Apr 2021 – Aug 2022

  • Designed and deployed a Django/PostgreSQL backend supporting transactional and operational data for a production mobile application.
  • Deployed a Flutter application and database infrastructure on AWS using version-controlled workflows in GitHub.
  • Produced system documentation and technical milestones supporting utility patent preparation and submission.

Rutgers University — Office of Information Technology | IT Support Manager

Newark, NJ • Sep 2019 – Jan 2023

  • Managed tier-2 IT support and supervised tier-1 staff, ensuring reliable delivery of technical services across units.
  • Supported institutional web platforms and contributed to a WordPress-to-Drupal migration, improving stability and maintainability.
  • Built an ArcGIS-based Wi-Fi coverage map visualizing signal strength by location to enable data-informed infrastructure planning.
  • Developed an iOS-based Augmented Reality learning series and led 3D printing workshops to support digital literacy initiatives.

Jasfel Analytics LLC | Data Engineer (Client: Syracuse Community Health)

Newark, NJ • Sep 2019 – Aug 2021

  • Built Flask-based Python ELT services ingesting and transforming millions of healthcare records into a PostgreSQL analytics warehouse.
  • Designed warehouse-style relational schemas optimized for cost, utilization, and quality reporting to enable consistent downstream analytics.
  • Wrote complex SQL transformations and reporting queries to ensure accuracy, performance, and repeatable monthly reporting cycles.
Education

Rutgers University — Business School

Master’s of Business and Science

Data Analytics and Applied Computing (Currently Enrolled)
Rutgers University — School of Arts and Sciences

Bachelor of Arts

Computer Science & Applied Physics Minors: Data Science, Math
Technical Skills

Programming Languages & Scripting:

Python, SQL, Java, JavaScript, R, VBA, PHP, MATLAB, Swift

Data Engineering & ML Frameworks:

Flask, FastAPI, Django, PySpark, dbt, Apache Kafka, TensorFlow, PyTorch, Pandas, NumPy, SciPy, scikit-learn

Databases & Warehousing:

PostgreSQL, Microsoft SQL Server, Microsoft Fabric, Azure SQL Database, AWS RDS, AWS DynamoDB, Amazon Redshift

Cloud Platforms:

AWS (EC2, RDS, S3, Redshift, DynamoDB, IAM, Lambda), Azure (SQL Database, Fabric, Active Directory, Power Apps, Power Automate, Blob Storage), Google BigQuery

Enterprise Platforms & SaaS:

Salesforce, Inteum Minuet

Analytics & Data Tools:

Tableau, Power BI, Matplotlib, Jupyter, Hex

Ready to support your next project.

Open to collaboration and project inquiries.