In his recent role, he contributed to a large-scale healthcare initiative to transition pharmacy claims systems from an existing third-party platform to a new one. This project involved coordination among a team of approximately 300 professionals, including architects, developers, testers, and analysts. His role focused on building and optimizing data workflows to support the integration of systems. His responsibilities included implementing monitoring and logging mechanisms to track pipeline performance and ensure compliance with operational standards. The project required a solid understanding of data systems and collaboration across cross-functional teams to meet deadlines.

In addition to his healthcare project, he played a key role in developing a data fulfillment application for the automotive sector. This project involved designing and implementing data ingestion pipelines, managing data transformation processes, and ensuring the accuracy and quality of datasets used for reporting and analytics. Using tools like Spark SQL, Hive, and Scala, he contributed to creating workflows that supported business requirements and facilitated data-driven decision-making. His involvement extended to troubleshooting system issues, optimizing data models, and preparing documentation to support long-term operational needs.

His expertise spans a range of technical domains, including relational databases such as PostgreSQL and SQL Server, NoSQL platforms like Cassandra and MongoDB, and cloud computing tools such as AWS and Databricks. He has experience in managing real-time data processing systems, developing automation frameworks, and addressing runtime issues in complex data ecosystems. His technical capabilities are complemented by his ability to translate business requirements into practical technical solutions, ensuring alignment between project objectives and implementation outcomes.

With a Master’s degree in Computer Information Systems and a Bachelor’s in Mechanical Engineering, he brings a solid academic foundation to his professional work. His education, combined with practical experience, allows him to work effectively on a range of technical challenges and contribute to collaborative, results-oriented teams.

His career is defined by his approach to solving technical problems, optimizing workflows, and ensuring the reliability and accuracy of data systems. His experience demonstrates his ability to adapt to changing project requirements and deliver systems that meet organizational needs while maintaining efficiency and precision.