I design, develop, and implement data pipelines and architectures that support the firm's business objectives and data-driven decisions. I leverage my expertise in various ETL tools like Talend, Informatica and Matillion to ensure data quality, integrity, and security. I also use my skills in data architecture to design and optimize data models, schemas, and storage solutions that meet the performance, scalability, and reliability requirements of the firm. I have over eight years of experience in data engineering, working with some of the leading companies in the financial and healthcare sectors, such as Capital One and Cigna Healthcare. In my previous roles, I used various technologies and frameworks, such as Spark, Hadoop, Hive, and SQL, to build and manage large-scale data solutions that enabled data analysis, reporting, and visualization. I contributed to several projects that delivered business value, such as improving customer segmentation, enhancing fraud detection, and optimizing risk management. I hold a bachelor's degree in engineering, where I learned the fundamentals of data structures, algorithms, and programming languages. I am passionate about data and its potential to drive innovation, efficiency, and growth in the financial industry and beyond. I am always eager to learn new skills, tools, and best practices that can help me improve my data engineering capabilities and deliver high-quality solutions. I value collaboration, communication, and creativity, and I strive to work with diverse and talented teams that share the same vision and mission.