Data Engineer
USA
INTERNATIONAL EXCELLENCE RESEARCH AWARD
I am Srujana Parepalli, an accomplished Lead Data Engineer and Enterprise Data Architecture Specialist with over 14 years of progressive experience designing, modernizing, and governing large-scale data platforms for global financial institutions. My career has been defined by sustained contributions to mission-critical banking and financial systems, where data accuracy, scalability, regulatory compliance, and operational performance are of national and institutional importance. Throughout my professional journey, I have consistently been entrusted with high-responsibility roles supporting core financial operations, regulatory reporting, and enterprise decision-making. My expertise spans enterprise ETL architecture, cloud data modernization, high-volume transactional data processing, and AI/ML-enabled analytics, with deep specialization in Informatica PowerCenter, Informatica Intelligent Cloud Services (IICS), PL/SQL, Oracle, Teradata, and cloud platforms including AWS and Azure. I have extensive experience architecting and governing data pipelines that process large-scale financial data under stringent requirements for reliability, security, auditability, and performance. These platforms form the foundational layer for advanced analytics, automated decision-making, and intelligent monitoring systems within highly regulated environments. A defining aspect of my work has been leading and influencing large-scale data modernization initiatives involving the migration of legacy mainframe and monolithic systems to cloud-enabled, microservices-aligned data architectures. In these initiatives, I have played a critical role in defining integration strategies, designing scalable transformation frameworks, and ensuring seamless data movement across complex and heterogeneous systems. My work has focused on producing AI- and machine-learning–ready data architectures, enabling accurate, timely, and trustworthy data consumption by downstream analytical and predictive models. In addition to modernization, I have consistently focused on building high-quality, analytics-ready data pipelines that support advanced use cases such as fraud monitoring, behavioral analysis, and risk assessment. By implementing rigorous data validation, reconciliation, lineage tracking, and governance controls, I have ensured that analytical and machine-learning systems operate on reliable and compliant data. These efforts have directly improved model accuracy, reduced false positives in monitoring systems, strengthened regulatory compliance, and enhanced enterprise confidence in data-driven insights. Throughout my career, I have served in lead technical and architectural capacities, guiding the design and delivery of complex ETL frameworks that support transaction processing, customer data management, billing, and analytics platforms. My responsibilities have included defining data standards, optimizing performance at scale, aligning architectures with governance requirements, and collaborating with cross-functional stakeholders across engineering, compliance, and analytics teams. Through this work, I have contributed to measurable improvements in system resilience, operational efficiency, scalability, and long-term platform sustainability. Earlier in my career, I held senior engineering roles supporting enterprise-wide data ecosystems across multiple financial domains. I contributed to the design, enhancement, and operational stability of large data warehouses and integration platforms that served as the backbone for reporting, analytics, and intelligent decision-support systems. My sustained involvement in high-visibility and high-risk initiatives reflected the trust placed in my technical judgment and leadership in environments where reliability and compliance are paramount. Beyond technical execution, I have demonstrated significant leadership and influence by mentoring engineers, reviewing complex architectures, and guiding teams in best practices for enterprise data engineering and analytics enablement. I am frequently consulted as a subject-matter expert on integration architecture, performance optimization, governance-driven development, and data readiness for advanced analytics and machine learning. My professional philosophy centers on engineering excellence, continuous modernization, and innovation through data, and I actively seek opportunities to advance the role of data engineering in enabling intelligent, scalable, and compliant enterprise systems. Through a sustained record of leadership, original contributions, and critical roles in nationally significant financial systems, I have established myself among the small percentage of professionals who have risen to the top of the field of enterprise data engineering and analytics enablement.