I am a Cloud Data Engineer with 7 years of experience building production-grade data pipelines, ETL/ELT systems, and executive-facing analytics solutions across Microsoft Azure and Google Cloud Platform.
I have worked on large-scale data modernization efforts, including a petabyte-scale Azure and Databricks migration at Wesco International and high-volume analytics support for NBCUniversal/Peacock, where I helped serve tens of millions of users with reliable daily batch processing.
My background combines data engineering, cloud architecture, and business intelligence. I have hands-on experience with Azure Data Factory, ADLS Gen2, Databricks, Delta Lake, Apache Spark, Airflow, BigQuery, Snowflake, SQL Server, and Power BI, along with strong skills in dimensional modeling, medallion architecture, and data quality validation.
I also build automation and AI-enabled solutions. At ResQ / J&E Enterprises, I architected workflow automation across multiple SaaS platforms and designed a custom OpenAI chatbot using RAG to reduce repetitive internal support requests.
In addition to backend data work, I have delivered full-stack internal applications using React, Angular, Node.js, Express, .NET, and Azure SQL. I enjoy bridging the gap between engineering and business needs by delivering both the pipeline and the dashboard.
I am especially interested in roles where I can help organizations modernize onto Azure, Fabric, and Power BI while keeping performance, reliability, and cost awareness in focus.
Worked as a contract data solutions engineer. Interviewed department leads and SaaS vendors to map enterprise data flow, architected workflow automation across 8+ SaaS platforms, managed offshore development, and built a custom OpenAI chatbot using RAG to reduce repetitive support requests. Received Employee of the Quarter recognition.
Harmonized demographic and behavioral data from Oracle and Teradata into analytics-ready datasets for Peacock and related business use cases. Built ETL/ELT pipelines with Airflow and BigQuery, implemented data quality checks and anomaly detection, and achieved 100% daily batch SLA completion. Designed Snowflake disaster recovery and pipeline observability.
Led legacy data migration to Azure Data Lake Storage Gen2 using Python, PySpark, SQL, SSIS, and Azure Data Factory. Designed dimensional models and validation checks, and built internal web applications using React, Node.js, Express, Angular, .NET, and Azure SQL. Mentored junior developers and created technical documentation.
Provided L1/L2 support for an enterprise ITSM platform serving 10,000+ users. Built Excel/VBA barcode scanning tools, automated stale-ticket monitoring with email notifications, and developed Python/Django tools to streamline documentation workflows.
Designed and delivered a Python curriculum covering OOP, collision detection, and BFS/DFS graph algorithms. Supported course instruction as a TA and led graph theory sessions.
B.S. in Computer Science
Concentrations in Computer Intelligence and Networking. Relevant coursework included Machine Learning, NLP, Automata & Complexity, Robotics, Algorithms, Systems Design, and Undergraduate Research.
AI-Native Business Intelligence Program Certificate
Certificate program focused on AI-native business intelligence.
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