Sayreville, New Jersey, United States
Data systems builder with 10+ years of experience designing and implementing end-to-end data solutions that transform fragmented processes into scalable, automated platforms. Specialized in SQL, Python, and data modeling, with a focus on building pipelines, standardizing data across systems, and enabling analytics at scale. I’ve led the development of internal data platforms, automated QC frameworks, and cross-system integrations that improve data reliability, reduce manual effort, and support real-time decision-making. My work sits at the intersection of data engineering and analytics, connecting disparate systems, structuring clean datasets, and delivering solutions that drive operational efficiency and business impact. Currently focused on designing scalable data workflows and analytics frameworks in the Incentive Compensation space, with a strong interest in expanding into broader data engineering and analytics engineering roles.
• Design and implement end-to-end data pipelines integrating SQL Server, DataLake, APIs, and Varicent Composer to support Incentive Compensation workflows. • Leads development of automated QC and data validation frameworks across sales, activity, claims, and HCP universe datasets, improving data reliability and reducing manual review effort. • Builds scalable Python-based ETL processes to extract, transform, and load large healthcare datasets (Sales, CRM activity, roster data) into downstream systems. • Architects dynamic, parameter-driven stored procedure frameworks to standardize and automate multi-client data processing. • Develops monitoring systems to track data freshness and trigger downstream validation and reporting workflows. • Integrates SQL, Python, and API-based workflows to streamline data movement between enterprise and cloud systems • Led advanced analytics initiatives including segmentation, impact analysis, and causal modeling
IC Analyst (Mar 2018 - Present) • Establishes automated processes to expedite and enhance IC processes. • Predicts client product's future sales using regression models and forecasting tools. • Collects, studies, and interprets large datasets to create reports on activities, trends, and projections regarding IC plan performance, components, and metrics. • Proficient in SQL, MS Excel, Excel VBA, Power BI, Power Apps, and Sharepoint Site Design. • Creates, updates, and manages relational databases via SQL Server and MS Sharepoint Online to store, query, and report on client and product data. • Responsible for previous responsibilities under the Associate IC Analyst role. Associate IC Analyst (Apr 2017 - Mar 2018) • Analyzes and performs quality control functions on all IC deliverables. • Designs and implements tools to measure sales force effectiveness. • Meets with sales management and clients to establish, monitor, and review performance.
• Achieved contract performance goals and objectives as established in the client agreement. • Created analytical spreadsheets and reports to document the team's marketing proficiency. • Developed comprehensive and accurate product presentations using all marketing and selling materials. • Contacted and delivered proficient sales presentations to current and prospective clientele. • Evaluated client schedules to ensure efficient and comprehensive coverage of territory. • Provided doctors and medical staff with product and service information. • Proficient in SalesForce and inContact software.