New York City Metropolitan Area
I’m a data-driven problem solver with a background in BI and a growing passion for building scalable data pipelines and infrastructure. With experience in analytics, Python scripting, and cloud platforms, I’m now transitioning into data engineering—where I can blend my analytical mindset with engineering best practices to support faster, smarter decision-making. I thrive in Agile environments and enjoy collaborating across teams to design and implement data solutions that are not just functional, but future-ready. Whether it’s migrating on-prem databases to the cloud, automating workflows with Airflow and Docker, or fine-tuning SQL transformations, I love turning messy data into meaningful insights. Always learning, always building—open to connecting with others in the data space to share ideas, tools, and growth.
• Migrated production data from Azure SQL to GCP, provisioning BigQuery and IAM infrastructure with Terraform, resulting in improvement in query performance and measurable cost savings. • Developed dbt models to support the rollout of a new client-facing data platform, standardizing key business logic and enabling more scalable, testable transformations across multiple subject areas. • Administered development, staging, and production Looker environments, improving dashboard release turnaround time through streamlined promotion and permissioning. • Supported Spark cluster migrations for real-time streaming jobs, contributing to improved job reliability and preparing for future scalability.
• Implement an automated data pipeline for reporting and alerts by optimizing scheduling and caching strategies, reducing manual report generation • Created and enhanced star schema data models, built ETL pipelines for a data warehouse for better data accessibility and analysis. • Containerized pipelines with Docker for scalable deployment across cloud-agnostic environments. • Improved Snowflake indexing strategies, cutting daily order data query times
• Optimized Tableau data pipelines for KPI reporting by implementing SQL performance tuning in PostgreSQL. • Designed interactive dashboards in Tableau and Looker, expanding reporting capabilities for Product and Finance teams. • Automated ETL pipelines using Python, PostgreSQL, and Airflow, reducing manual data processing by 10 hours per week. • Led a cross-functional team to develop time-series forecasting models, improving demand predictions and reducing stock imbalances. • Presented executive-level insights using Tableau and Snowflake dashboards, translating analytics into data-driven strategies for faster revenue-impacting decisions.
• Audited patents, employment verification, and financial reports for companies applying to NJEDA's Net Operating Loss Program • Reviewed and analyzed Trust documents and securities agreements for NJEDA's Angel Tax Credit Program • Streamlined new employee learning process by reconstructing SOPs, reducing training periods
• Analyzed incoming memos, submissions, and reports to plan distribution efficiently. • Managed office tasks like ordering supplies and maintaining records for smooth operations. • Provided clerical support to various departments to ensure seamless workflow.