Biswajit Boruah

Biswajit Boruah: Director Of Data Engineering At Prudential Financial | Ex Vice President at Goldman Sachs

15-year Data Engineering leader at Premier Institutions including Goldman Sachs, Prudential Insurance and JP Morgan Chase, transforming enterprise infrastructure through cloud-native solutions. I architect scalable data platforms that process petabytes of data, enabling AI-driven business decisions and reducing operational costs through strategic technology modernization.

Professional Highlights

  • Leadership & Delivery: Led engineering teams across multiple organizations, delivering enterprise data engineering projects over 15 years, establishing technical standards and mentoring engineers to drive consistent project success
  • Cloud Transformation Impact: Successfully migrated 30+ TB of historical data from legacy on-premises systems to cloud-native architectures (AWS, Snowflake), reducing infrastructure costs and improving data availability for critical business analytics
  • Performance Optimization: Achieved 60-70% improvement in data processing performance through cloud-native optimizations and modern frameworks, enabling faster time-to-insight for business stakeholders
  • Technical Expertise: Built and maintained 100+ ETL pipelines processing multi-terabyte data warehouses across financial services organizations, ensuring reliable data delivery for regulatory reporting and strategic decision-making
  • Business Alignment: Worked closely with business stakeholders, data scientists, and architects to translate complex requirements into scalable technical solutions that directly address business objectives and regulatory compliance needs

I deliver impactful results through two core areas:

Strategic Architecture & Cloud Transformation

  • Multi-Platform Migration & Scale: Expertly managing multiple complex migrations from diverse, on-premises legacy platforms (Oracle, Teradata, DB2, Greenplum) and traditional ETL tools (Informatica PowerCenter) to modern, cloud-native architectures (AWS, Spark, Snowflake, Databricks). This ensures continuous data availability and optimization across environments

  • Scaling Applications: I architect, build, and optimize high-throughput applications, consistently leading successful multi-terabyte data warehousing projects into the cloud.

  • Infrastructure Automation: Expert in designing comprehensive CI/CD pipelines and robust Cloud Infrastructure (AWS) that guarantee data availability, performance optimization, and reliable deployment.

  • Domain Alignment: My deep technical proficiency is always matched by sound domain knowledge, ensuring data solutions directly address critical business objectives and regulatory needs.

Generative AI and Modern Data Platforms

  • AI Data Strategy: I specialize in structuring the data foundation for innovation, including setting up and scaling Data Engineering pipelines for AI/ML and Large Language Model (LLM) initiatives.

  • Multi-Cloud Data Virtualization: Architected Microsoft Fabric data virtualization platform enabling seamless cross-cloud analytics and reporting, reducing data silos and improving data accessibility across teams

  • Strategic Cloud Solutioning: Designed multi-cloud solutions leveraging AWS and Microsoft Fabric based on project requirements, enabling organizations to optimize costs and performance by selecting the best platform for each use case
  • Self-Service Analytics: Enabled self-service analytics capabilities through unified data platforms, empowering business users to access and analyze data without direct database dependencies

Leadership & Communication

As a leader, my commitment extends to mentoring cross-functional teams and simplifying complex technical challenges into clear, actionable development roadmaps. I believe effective communication and collaborative execution are key to sustained success. Throughout my career, I have:

  • Team Development: Mentored engineers through code reviews, technical guidance, and career development, resulting in improved code quality and team productivity
  • Executive Communication: Regularly presented technical strategies and project updates to C-level leadership, translating complex technical concepts into business value and securing stakeholder buy-in for strategic initiatives
  • Cross-functional Leadership: Led cross-functional collaboration with data analysts, data scientists, business stakeholders, and architects, ensuring alignment and delivering projects that meet both technical and business requirements
  • Engineering Excellence: Established coding standards, design patterns, and best practices across engineering teams, reducing technical debt and improving system maintainability

I specialize in transforming legacy data infrastructure into modern, scalable platforms that drive business growth and enable data-driven decision-making. Through strategic cloud migrations, performance optimizations, and cross-functional leadership, I help organizations unlock the full potential of their data assets.

Explore my experiences and key projects to see how I've delivered measurable results across financial services organizations. I'm always open to discussing how I can help your organization achieve its data engineering and cloud transformation goals.

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