• Designed and developed an in-house analytics tracking library used across major web applications in US Bank, defining standardized event models to improve data quality and APIs to simplify implementation for developers.

• Led the automated PII scanning and masking project, preventing sensitive customer data from entering downstream analytics systems and ensuring compliance with internal data governance policies.

• Developed an event tracking validation framework to automatically verify tracking accuracy, enforce data standards, and ensure compliance with banking requirements.

• Led the migration of analytics and experience tracking from legacy Adobe libraries to the Adobe Experience Platform SDK, enabling real-time data collection and personalization capabilities through Adobe Experience Platform.

• Partnered with cross-functional teams (engineering, marketing, analytics, and business line) to align the platform migration with marketing objectives, including personalization initiatives and advanced analytics reporting.

• Maintained platform compatibility during phased migration, ensuring uninterrupted analytics data flow and experiment execution across legacy and modern implementations.

• Revamped the analytics event tracking system and moved it from on-prem to AWS cloud

• Defined structural event data model using Avro, used Open API to codegen objects that can be used in client tracking libraries to enforce event definition across web and mobile platforms

• Designed data models for curated marketing, clickstream, customer profile, client financial and experiment data sets

• Ingested data from various sources into data platform and built data pipelines using Java and Scala

• Provided clean, transformed ready data for data analysts and scientists

• Worked with stakeholders including the executive, product, marketing, finance and data science teams to assist with data issues and support their data needs.

• Standardized marketing and analytics data collection solution across multiple web and mobile applications in the company.

• Merged data from various analytics and marketing tools into one format, fed data through a single gateway and routed data to different destinations to reduce network requests from client side and minimize data discrepancies across destinations

• Performed data parity checks between old and new collection solutions and planned a seamless staged migration.

• Designed and built clickstream data collection SDKs for web, iOS, and Android.

• Troubleshooted and reconciled data discrepancies across multiple sources

• Researched cookie management and tracking suppression for CCPA (California Consumer Privacy Act)

• Designed and implemented marketing campaign attribution tracking in web and mobile.

• Integrated the following marketing and analytics tools into our products: Adobe Analytics, Adobe Audience Manager, Adobe Media Optimizer, Mixpanel, Amplitude, Google Analytics, Google Ad, Search Ads 360, Optimizely, Appsflyer, Braze.

• Designed and built clickstream data collection SDKs using javascript which was adopted across the company. It eased the process of implementation for developers and provide more tracking control to analysts by making tracking customizable through a configuration file.

• Partnered with multiple business units to design and build analytics solution that using the following tools: Adobe Analytics, Adobe Test & Target, Adobe Media Optimizer, Tag Management System, Google Analytics, Segment.io

• Built a solution to track internal/external traffic sources of visitors across domains

• Worked on clickstream data post-processing including: sessionalization, attributes persistency, geo mapping based on IP, and visitor ID stitching

• Built a web application to manage data schema using Node and React.

• Experienced in data analytics platform using Hadoop HDFS, and Hive

• Built a training management web application for crew, instructors, and flight controllers using ASP.NET4.0 / C# with MVC architecture

• Built a window application that integrated with eye gaze and thermal detection machines to perform lie detection