Served as the primary technical point of contact for 8 enterprise clients, identifying new use cases, developing reference architectures, and designing cloud-agnostic solutions on platforms like Databricks, AWS, and Azure.
Collaborated with clients and internal teams to model business processes and capture data requirements, driving insights that contributed to product commercialization and measurable growth. Achieved 35% QoQ growth by adding 21+ use cases (~$89k) to the pipeline and securing $450k+ in upsell opportunities.
Pioneered the integration of emerging technologies, co-developing two demo Retrieval-Augmented Generation (RAG) applications within the GenAI initiative, resulting in firm-wide adoption as a growth accelerator.
Led the strategic alignment of business needs by working closely with product management, engineering, and post-sales teams to prioritize features, resolve technical challenges, and optimize product KPIs through data-driven decision-making.
Customer Success Engineer
Databricks AMER
02.2021 - 03.2023
Managed post-sales customer lifecycle for 50+ clients, delivering strategic advisory to executives and driving product adoption in a SaaS environment. Collaborated with stakeholders to define product roadmaps and data requirements, ensuring alignment with business goals on AWS, GCP, and Azure.
Served as Azure and Databricks Subject Matter Expert (SME), resolving technical escalations and delivering 200+ workshops on cloud architecture, Spark, ETL processes, machine learning (ML) optimization, and CI/CD best practices. Used data-driven insights to guide decisions and enhance customer engagement.
Contributed to technical engagements by performing code reviews, overseeing cloud migrations, and deploying ML models and ETL pipelines. Leveraged data analytics to maintain an 80% customer retention rate, securing $2.5M+ in upsell opportunities.
Led a successful SQL adoption program, achieving a 75% success rate by showcasing the value of SQL integrations, driving executive-level support, and influencing prioritization of data platform enhancements.
Orchestrated the development of a Center of Excellence (CoE) for a high-visibility enterprise account, promoting the use of scalable, data-driven models, fostering cross-functional collaboration, and achieving over 4x user growth month-over-month (MoM).
Product Analyst
Arbormetrix
06.2020 - 02.2021
Developed healthcare analytical reporting solutions using Python, SQL, and Tableau to support data-driven decision-making throughout the customer lifecycle
Led the introduction of TabPy (Tableau + Python integration) within the Product team, training 10+ peers on its capabilities and applications
Collaborated with data teams to identify and implement a 'blinding' feature in Tableau to mask PII data
Automated the Tableau validation process using Python, reducing QA team workload by 21+ hours per week.
Education
Master of Science - Data Science
University of Michigan - Ann Arbor
Ann Arbor, MI
05.2020
Bachelor of Engineering in Computer Science - undefined