Siddarth Pai

At Walmart’s Enterprise Data Platforms, I lead large-scale data engineering initiatives that strengthen the company’s ability to harness data as a competitive advantage. I designed and optimized cloud-native ingestion pipelines on GCP and Azure using Apache Spark, significantly improving the scalability, efficiency, and reliability of data-driven operations across the retail ecosystem. I built mission-critical REST APIs and microservices in Java Spring Boot to power Walmart’s internal data ecosystem, while architecting backend systems with a focus on high performance, modularity, and fault tolerance. By embedding best practices in testing and CI/CD, I drove operational excellence at scale. Impact: Accelerated real-time analytics and decision-making, enabling Walmart to process data faster and more accurately, thereby enhancing the company’s ability to deliver timely insights and support strategic growth in a highly competitive retail landscape.

Led enterprise-wide data engineering transformation at one of the world’s largest financial institutions, positioning the organization to better manage and extract value from vast, complex financial datasets. Architected scalable data ingestion frameworks on AWS (EMR, EKS, Terraform, Spark), enhancing resilience and operational efficiency in data-intensive environments. Developed microservices and APIs in Java Spring Boot to modernize and streamline both client-facing and internal data flows, improving agility across the enterprise. Partnered with technology, risk, and compliance teams to embed advanced data governance, transformation, and validation practices, ensuring regulatory adherence while strengthening data reliability. Impact: Eliminated critical operational bottlenecks, accelerating the speed and accuracy of financial data processing, and enabling the institution to make faster, more precise business-critical decisions.

At the intersection of healthcare and technology, I led initiatives that empowered clinicians with advanced, data-driven insights. Spearheaded the migration to cloud-first platforms (AWS EMR, S3, Spark), modernizing GE’s data infrastructure to enable scale, agility, and reliability. Designed and deployed AI/ML-powered predictive analytics solutions using SageMaker and MLOps practices, giving providers the ability to anticipate medical issues before they occurred. Beyond technology, I cultivated a culture of innovation—mentoring engineers, fostering cross-functional collaboration, and embedding continuous learning into platform engineering teams. Impact: Advanced GE’s mission of proactive, patient-centered healthcare by delivering AI-enabled predictive solutions that improved patient outcomes, enhanced operational efficiency for providers, and strengthened the company’s competitive position at the convergence of healthcare and AI.

Architected and deployed enterprise-grade databases using Java, SQL, and PL/SQL, ensuring alignment with industry standards and best practices. Drove modernization efforts by adopting microservices and containerization (Docker) to transform legacy systems into scalable, flexible platforms. Led a cross-functional team of engineers in delivering complex solutions across multiple industries, consistently ensuring stakeholder alignment, quality assurance, and on-time execution. Impact: Delivered scalable, cost-efficient solutions for global clients while demonstrating early leadership through hands-on mentoring, project ownership, and the ability to translate technical execution into measurable business value.

Founded BookMyMantap.com, a digital marketplace for wedding venues and event services. Built and led a 15-member founding team, shaped product strategy, secured vendor partnerships, and pitched to early-stage venture investors. Drove platform from concept to beta launch across web and mobile, while navigating the challenges of fundraising, product-market fit, and team building.

As a System Engineer at Infosys, I contributed to a large-scale BI project, leveraging Informatica for robust ETL workflows and optimizing data pipelines for high performance and reliability. I engineered complex SQL and PL/SQL queries, stored procedures, and functions to support advanced analytics and data integrity. I collaborated with cross-functional teams to design scalable solutions, ensure efficient data modeling, and maintain high data quality. My work enabled faster insights, improved decision-making, and streamlined reporting for stakeholders. This experience strengthened my skills in data engineering, problem-solving, and delivering impactful, production-grade solutions in fast-paced environments.

Founded Sahasranshu Technologies, a deep-tech venture developing autonomous underwater unmanned vehicles for defense and maritime applications in India. Defined the vision for next-generation underwater platforms, secured ₹6 lakh in funding from KBITS, and won multiple national business plan competitions.

37 Credit Course having Dual Major in Business Analytics and Project management

75 Credit Rigorous Course MTech in Computer Science and Engineering with expertise in machine learning, high-performance computing, advanced computer networks, advanced databases, advanced algorithms, and data structures. Experienced in designing and implementing complex systems, optimizing database performance, and applying theoretical foundations of machine learning to real-world problems.