Vinit S.

About Vinit S.

Senior Data Engineer with 7+ years of experience designing and scaling enterprise-grade data platforms across on-prem and cloud environments. Currently serving as a Vice President at Bank of America, I specialize in building high-throughput, fault-tolerant data pipelines and API-driven architectures that power mission-critical analytics and business workflows.With a strong foundation in cloud development utilizing Azure services, I have successfully migrated complex data workloads, improving processing speeds and reducing operational costs. My commitment to data quality and analytics has empowered business and data science teams to leverage actionable insights, resulting in improved decision-making processes.I have strong experience in distributed systems and big data technologies such as Spark, Kafka, Hadoop, NiFi, Airflow, and Delta Lake. I build and optimize real-time and batch data pipelines that handle multi-terabyte workloads while improving performance, reliability, and secure data access. I enjoy translating complex business needs into scalable, cost-efficient, and production-ready solutions.Beyond technical delivery, I have a strong track record of leadership serving as Product Owner, leading cross-functional and global engineering teams, mentoring engineers, and driving platform roadmaps from concept to production. I have designed automation frameworks, data pipelines, and performance testing solutions that eliminated manual intervention and significantly improved operational efficiency.Inventor on multiple granted U.S. patents in distributed systems, data synchronization, and automated configuration management, I am passionate about solving complex data problems and enabling data-driven decision-making at scale.Always open to connecting with engineers, architects, and technology leaders to collaborate on impactful data, cloud, and platform engineering initiatives.

Experience

1. Vice President - Data Engineer 3 - Data Analytics Platform

   Bank of America

   Mar 2022 — Present · Charlotte, NC, US

   Data Analytics Platform - Quality Assurance Engineering Services• Served as Product Owner for internal web portal project and led the end-to-end product lifecycle for critical projects, including defining product vision, managing stakeholder requirements, and overseeing development and implementation.• Successfully enhanced testing processes and internal workflows by aligning technical solutions with strategic business goals, resulting in improved efficiency and product quality.• Orchestrated the development of a scalable REST API backend for the QA application, ensuring secure and reliable data retrieval and manipulation• Engineered ETL scripts with Teradata utilities, achieving a 20% improvement in data loading efficiency from Hadoop to the Teradata platform• Implemented a NiFi data flow, seamlessly transmitting real-time data to the Hadoop platform, resulting in a 30% reduction in data transfer latency• Rectified platform issues for tenants transitioning from Spark 2 to Spark 3, ensuring a seamless migration experience for 10+ tenants• Designed and implemented Apache Airflow data pipelines in private cloud, leading to a 40% improvement in ETL process efficiency and reliability• Engaged in strategic planning and execution of data pipeline solutions, aligning with executive and technical stakeholders.

Education

• University of North Carolina at Charlotte

  Minor, Sociology

  2017 — 2020

• University of North Carolina at Charlotte

  Bachelor of Science - BS, Software Engineering

  2017 — 2020

• University of North Carolina at Charlotte

  Master's degree, Computer Science

  2020 — 2022