Innovative Principal Software Engineer with 8 years of experience in developing data platforms and data products from inception to launch. Specializes in cross-functional collaboration, working with Product teams and end-user stakeholders to architect robust pipelines, business intelligence solutions, and data products. Skilled in advanced analytics, machine learning, and system design, with a strong commitment to end-to-end ownership and delivering impactful results.Achievements- Collaborated with Senior Leadership and Product team to design and launch data product suite, including a SaaS platform and data warehouse, enhancing stakeholder access to actionable insights through data visualization tools and client data delivery system.- Innovated a comprehensive data platform encompassing 80+ pipelines across ETL processes, data cleaning, analytics, generative AI, and machine learning, processing over 70B rows of data weekly. - Engineered a data web application SAAS platform using Superset, FireBolt, MySQL, MongoDB, Django, Next.js/React, featuring query performance monitoring and optimization and advanced analytics tools.- Streamlined batch processing with Dagster and job queues with Celery, enhancing data workflow efficiency.- Developed and maintained internal analytics and operations data using BI tools Quicksight and Superset.- Established standardized data QA processes incorporating CI/CD practices and compliance frameworks to ensure dat

- Led team of 8 engineers on special projects, fostering a collaborative environment and driving creative solutions in an Agile setting.- Designed and developed scalable, fault-tolerant systems for the online education platform, optimizing server costs and resource utilization through a microservices architecture on AWS.- Implemented real-time data streaming solutions, enhancing the ability to make data-driven decisions quickly.- Collaborated with QA to automate testing and increase coverage, reducing error rate in data systems by 78%. - Established data management systems and pipelines for efficient data handling, and partnered with data scientists and analysts to optimize data models and queries, improving overall system performance.- Delivered a strategic vision for Enterprise BI, driving operational oversight of enterprise-wide reporting and analytics functions and reducing compute for manual analytics reports by 23%.

- Created comprehensive ETL processes to integrate multiple data sources into a centralized data warehouse, ensuring accurate and timely data delivery to support business intelligence and analytics initiatives.- Managed databases using MySQL and MongoDB, including backups, schema design, and performance tuning and optimization of SQL queries and data processing jobs, achieving a 70% reduction in daily execution time.- Managing projects with Scrum, led the design and implementation of data pipelines using Apache Spark and Kafka, improving reliability and data processing speed by 84%.

Analyze samples from stainless steel 3D printer for strength Compare print samples to samples of metal shop counterparts

Dendrimer synthesis research for use in cancer drug manufacturingEmphasis in di- and tri- substitution triazine chemistryPublishing findings in Organic LettersSecond emphasis in rheological properties, especially mucoadehesion