Building the Future of Data

Biswajit Boruah

Data Architect & Engineering Leader

15+ years leading data engineering teams and architecting enterprise-scale data platforms at Goldman Sachs, Prudential, and JP Morgan. Driving cloud transformation, building AI/ML-ready data foundations, and mentoring high-performing engineering teams.

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Strategic Data Leadership

Translating business objectives into scalable data architecture and roadmaps

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Cloud & AI/ML Transformation

Migrated 30+ TB to cloud, enabling AI/ML initiatives with modern data platforms

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Team Building & Mentorship

Building and leading cross-functional teams, establishing engineering excellence

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Biswajit Boruah

Biswajit Boruah

Director of Data Engineering

Prudential Financial

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Years Experience
0+ TB
Data Migrated
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Pipelines Built
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Performance Gains
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About Me

Data Architecture & Engineering Leadership

Combining deep technical expertise with strategic vision to deliver enterprise-scale data solutions

As a Director of Data Engineering at Prudential Financial, I lead critical data modernization initiatives that bridge the gap between legacy systems and modern, cloud-native architectures. With 15+ years at premier financial institutions including Goldman Sachs and JP Morgan, I bring a unique blend of hands-on technical expertise, strategic thinking, and people leadership to every initiative.

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Strategic Data Architecture

Designing and implementing enterprise data strategies that align with business objectives and enable digital transformation.

  • Enterprise data modeling & governance
  • Data platform strategy & roadmaps
  • Cost optimization & performance tuning
  • Vendor evaluation & technology selection
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Cloud & AI/ML Enablement

Leading cloud migration initiatives and building data foundations that power AI/ML and advanced analytics capabilities.

  • AWS, Snowflake, Databricks expertise
  • Real-time streaming with Kafka & Spark
  • AI/ML data pipeline architecture
  • Data virtualization & fabric solutions
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Engineering Leadership

Building and mentoring high-performing data engineering teams, establishing best practices, and driving engineering excellence.

  • Team building & talent development
  • Agile delivery & stakeholder management
  • Code review & technical standards
  • Cross-functional collaboration

Technical Expertise

Cloud Platforms

AWS Snowflake Databricks Microsoft Fabric Redshift

Data Engineering

Python Spark Kafka Airflow SQL

Data Management

Data Modeling ETL/ELT Data Governance Data Quality Power BI

Databases

Oracle PostgreSQL Teradata SQL Server DynamoDB

Management & Functional Expertise

Leadership & Management

Team Leadership Talent Development Performance Management Mentoring & Coaching Stakeholder Management

Project Execution

Agile/Scrum Program Management Resource Planning Risk Management Vendor Management

Functional Knowledge

Financial Services Investment Banking Wealth Management Risk Analytics Market Data

Strategic Planning

Roadmap Development Technology Strategy Budget Planning Cost Optimization Digital Transformation
Career Journey

Professional Experience

15+ years of progressive leadership at premier financial institutions

Prudential Insurance Company of America

Director - Data Engineering

Leading Data Engineering & AI/ML initiatives for strategic data solutions

Led the migration of Market Data Modernization (MDR) project from on-premises Java and Oracle systems to AWS cloud infrastructure, improving scalability and reducing operational costs
Architected and implemented cloud-native data pipelines processing real-time market data feeds, ensuring high data availability for downstream analytics and trading systems
Enabled data virtualization across Microsoft Fabric, providing seamless analytics and reporting capabilities that allow teams to access and analyze data from multiple cloud providers (AWS and Fabric) based on project needs
Collaborated with cross-functional teams including data scientists, business analysts, and infrastructure teams to deliver solutions that leverage the best capabilities of different cloud platforms

Sep 23, 2024 - Current

Newark, NJ

Current Role

Goldman Sachs

Vice President - Data Engineering Tech Lead

Led Data Engineering for Asset & Wealth Management division, managing team of engineers

Led team of Data and BI Engineers delivering enterprise data engineering projects over 5+ years, fostering collaboration and technical excellence across the division
Architected and executed comprehensive cloud migration strategy, migrating 30+ TB of historical data from Oracle/Postgres to AWS S3 and Snowflake, ensuring zero downtime and continuous data availability
Improved data processing performance by 60-70% through cloud-native optimizations, Spark framework implementation, and real-time data streaming using Kafka for high-frequency financial data
Established code review processes, technical standards, and best practices, mentoring engineers on modern design patterns and cloud-native architectures while ensuring high code quality

Feb 11, 2019 - Sep 22, 2024

New York, NY

JP Morgan Chase & Co.

Associate - Senior Data Engineer

Senior Data Engineer for Private Wealth Management, developing ETL solutions and data pipelines for Investment Risk analytics

Developed and maintained ETL pipelines for processing daily investment risk data for Private Wealth Management, ensuring accurate and timely delivery of critical risk metrics
Designed and implemented data models and transformation logic for Investment Risk data marts in Oracle and Greenplum, supporting complex risk calculations and regulatory reporting requirements
Optimized batch processing workflows, reducing data availability time by 30% through performance tuning, query optimization, and efficient data loading strategies
Collaborated closely with risk analytics teams and business stakeholders to understand requirements, translate them into technical solutions, and ensure data quality and accuracy

Apr 3, 2017 - Feb 10, 2019

Jersey City, NJ

Mphasis

Module Lead Systems - Data Engineer and ETL Developer

Data Engineer for Risk Analytics Project, generating Analytical Risk Metrics

Built end-to-end data pipelines integrating multiple data sources (Oracle, Flat Files, JSON) for risk analytics
Developed XML generation workflows for external risk analytics vendor integration
Implemented data quality controls and validation processes for investment risk data marts
Collaborated with business users to understand requirements and deliver analytical reports

Jun 20, 2016 - Apr 2, 2017

Jersey City, NJ

Tata Consultancy Services

IT Analyst - Data Engineer and ETL Developer

Data Engineer for Morgan Stanley Enterprise Data Warehouse Wealth Management Project (Client - Morgan Stanley)

Developed and maintained ETL processes for Enterprise Data Warehouse processing 100+ TB of data
Integrated data from 10+ source systems (Oracle, Teradata, DB2, SQL Server, Flat Files) into centralized data warehouse
Built 50+ data transformation workflows using Informatica PowerCenter for wealth management domain
Collaborated with cross-functional teams including Business Objects reporting teams to ensure data accuracy
Participated in code reviews and knowledge sharing sessions, contributing to team's technical growth

Dec 13, 2010 - Jun 19, 2016

Pune, India & New York, NY

Featured Work

Key Projects & Initiatives

Enterprise-scale data solutions that drove measurable business impact

Prudential Insurance Company of America

Market Data Modernization (MDR)

Led the modernization initiative to migrate on-premises market data ingestion and calculation systems from Java and Oracle to AWS cloud infrastructure using Python, improving scalability and reducing operational costs.

AWS Python Oracle Microsoft Fabric Power BI

Migrated legacy Java/Oracle system to AWS, improved data processing efficiency by 50%, enabled real-time analytics

Prudential Insurance Company of America

Microsoft Fabric - Data Virtualization & Analytics Platform

Designed and implemented a unified data virtualization platform using Microsoft Fabric, enabling seamless data access across multiple source systems for analytics and reporting.

Microsoft Fabric Power BI AWS Python Data Virtualization

Unified data access across systems, enabled self-service analytics, supported AI/ML data readiness

Goldman Sachs

Informatica PowerCenter to AWS Migration - Data Ingestion Framework

Led the migration of Informatica PowerCenter-based data ingestion framework to AWS cloud infrastructure, migrating 30+ TB of historical data and 50+ ETL workflows to cloud-native solutions using Spark and Python.

AWS Snowflake Spark Python Informatica

Migrated 30+ TB data, 60% performance improvement, zero downtime migration

Goldman Sachs

Cloud-Native Data Warehouse Migration - Snowflake & Databricks

Architected and executed the migration of legacy data warehouse infrastructure from Oracle/Postgres to Snowflake and Databricks, transforming traditional ETL processes to modern cloud-native data engineering workflows.

Snowflake Databricks Spark Kafka AWS

70% query performance improvement, 99.9% uptime, enabled real-time high-frequency data processing

Get In Touch

Let's Connect

I'm always excited to connect with fellow data professionals, explore innovative collaborations, and discuss emerging trends in Data Architecture, Cloud Transformation, and AI/ML. Whether you have an interesting project, want to exchange ideas, or explore potential synergies - I'd love to hear from you.

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