Team Lead — Citi Control (ICRM,GRC & FCRA) at Citigroup (2019-07 – 2025-12)
Citi is a leading global bank for institutions with cross-border needs, a global provider in wealth management and a U.S. personal bank. Citi control is the risk assessment tool for across the organization.
- Contributed as a core member of the program architecture team, shaping end-to-end data flow design across enterprise applications and ensuring integration consistency across the wider system landscape.
- Owned Oracle 11g/19c database architecture for AML Reporting, ICRM, GRC, and FCRA regulatory platforms, ensuring scalable data design, integrity, and reliability across 30+ integrated applications.
- Designed architecture-level data models and governance workflows to support regulatory reporting, compliance dashboards, control monitoring, and risk assessment processes.
- Engineered complex PL/SQL stored procedures to automate control governance processes, enabling accurate performance metrics and reducing manual effort in compliance reporting.
- Translated evolving regulatory requirements into structured data architecture, partnering with compliance officers to convert mandates such as OFAC and Anti-Bribery into measurable data models and reporting logic.
- Led regulatory data analysis and mapping, connecting inventory data, business assessment units, applicable guidelines, and risk scoring frameworks to improve compliance visibility and gap reporting.
- Designed and implemented automated data cleansing and loading workflows using Python, Pandas, and NumPy, improving data readiness, consistency, and processing efficiency.
- Architected and implemented data pipelines for the Continuous Risk Monitoring platform, using SQL-based validation and reconciliation to strengthen data quality, accuracy, and audit confidence.
- Redesigned the FCRA reporting module architecture, improving report-generation performance by reducing execution time from 10 hours to 2 hours, achieving an 80% reduction in processing time.
- Led multi-year global regulatory technology assignments, managing regulator-facing commitments and leading a distributed delivery model of 15 direct and 80 indirect team members across three geographies.
- Scaled and led the FCRA program into a $10M global regulatory initiative, driving architecture, delivery governance, stakeholder alignment, and successful execution across complex compliance environments.
- Recognized consistently by product and business leadership for successful scorecard reporting, with appreciation shared to C-level management over the last three years, positioning me as a key contributor to executive-level regulatory reporting success.
Team Lead —Core Services in Airline booking system at JetBlue Airways (2017-01 – 2019-06)
JetBlue is a popular American low-cost airline known for providing low fares.
- Architected the foundation of a scalable analytics engine to analyze booking, search, and payment-service usage data across JetBlue's direct and partner channels, supporting 5M+ searches per month and 15K+ daily bookings.
- Designed data models and developed REST APIs to surface key operational and commercial metrics, including route demand, fare performance, and TrueBlue redemption trends, enabling Revenue Management, Network Planning, and Marketing teams to self-serve insights and reducing manual reporting turnaround from 3–4 days to same-day delivery — an estimated 80% improvement.
- Using Python and SQL, the data in TDP and Sabre GDS improved the data quality and completeness to 90%+ and reducing pipeline processing time by 40% across 50+ routes and markets
- Led performance optimisation across search and booking services, improving response times, strengthening user experience, and contributing to a 10–15% increase in revenue through improved search-to-booking conversion.
- Architected self-serve reporting capabilities through dashboards and APIs, enabling business teams to access operational and commercial insights on demand, reducing reporting turnaround from 3–4 days to same day, and saving 200+ manual hours weekly.
- Re-engineered data pipelines to improve processing efficiency by 40%, enabling near real-time visibility into booking, search, and payment trends and supporting faster business decision-making.
Sr.Software Engineer/Developer at Citigroup (2011-06 – 2016-10)
- Analyzed data from multiple sources — including AML case investigations generated by the CitiCMT tool, Mantas transaction alert data, and KYC data from ICG Sector, Fixed Income, and Global Capital Markets — to develop comprehensive Business Requirement Documents (BRDs).
- Architected and implemented a database model to ingest and process feed files from the above data sources.
- Designed and developed database packages and stored procedures to support the data consolidation process.
- Designed and built a global AML Metrics Reporting platform using Java/J2EE to aggregate and analyze AML data across regions.
- Designed and developed microservices/APIs using Java Spring Boot to expose AML data for consumption by external applications.
Sr.Software Engineer / Data Engineer at Putnam Investments (2009-05 – 2011-05)
Putnam Investments is a global asset management firm that offers mutual funds, institutional accounts, and active equity strategies
- Analysed participant fund allocation data and contribution patterns to support the Lifetime Income Analysis Tool (Paycheck), enabling personalized retirement projections.
- Developed Oracle stored procedures to implement business logic for presentation-layer reporting using Tableau.
- Built interactive data visualization components (charts, contribution forecasts) for the participant-facing website.
- Automated CI/CD-driven data validation workflows; used Agile and TDD methodologies.
Sr.Software/Data Engineer - Wealth Manager Services/ Basel II Credit Risk Management at State Street Corporation (2006-06 – 2009-04)
State Street Corporation is a massive financial institution that primarily acts as a custodian bank and asset manager for large institutional clients rather than serving everyday consumers
- Developed business intelligence dashboards for high-net-worth wealth management, surfacing portfolio, allocation, and performance data to advisors.
- Built Oracle stored procedures for data aggregation and reporting; developed Java DAO components to fetch and transform data from the database.
- Designed and implemented data visualization charts for investment performance reporting.
- Studied Basel II Credit Risk guidelines and analysed counterparty data to model and document Probability of Default (PD) indicators.
- Designed and developed the Credit PD Tool — a data-driven application to evaluate counterparty risk across multiple portfolios.
- Performed data analysis and quality review for Counterparty Management System (CMS) and Unique Counterparty Identifier (UCI) datasets.
