Reno Rajan Christy

Maintained and enhanced critical enterprise solutions for Real Time Credit Card Authorizations across U.S. Bank's full card portfolio. Architected backend data solutions for corporate credit card payment platforms serving MNCs and federal agencies.

• Built and optimized Fabric Notebooks and Spark applications using Python, PySpark, and SQL to process, validate, and transform large datasets within Lakehouse environments.
• Designed end-to-end Microsoft Fabric architecture leveraging OneLake, Lakehouse, Fabric Warehouses, and Power BI semantic models for real-time and analytical banking workloads.
• Implemented Medallion Architecture (Bronze/Silver/Gold) standardizing ingestion, cleansing, business transformations, and reporting across payments and risk analytics.
• Delivered IoT edge-to-cloud solution integrating firmware sensor nodes, Azure IoT Hub, and ADLS Lakehouse — achieving 95% infrastructure cost reduction.
• Integrated OCI GenAI for prompt engineering, fine-tuning, and vector search into Python data pipelines for semantic similarity and information retrieval.
• Spearheaded high-availability solution for real-time card authentications integrating mainframe, IBM MQ, TIBCO, DB2, and Kafka in dockerized CI/CD environment.
• Implemented Snowpipe, Streams, and Tasks for real-time CDC enabling scalable analytics across finance and fraud domains.
• Reduced real-time transaction errors by 15% through Tibco-Kafka-Python event-driven architecture improvements.

Spearheaded data feeds design for Customer Journey Analytics platform migration from Bryter CX to Adobe CJA across IVR, Card, Survey, ATM, and Teller channels.

• Designed and developed ETL data feeds for Teller, ATM, Card-IVR, Surveys, Alerts, and Online Transactions leveraging Teradata, Oracle, Hive, and Python.
• Led architectural redesign facilitating seamless migration to Adobe Customer Journey Analytics.
• Automated data extraction using Python for Adobe API integration across multiple delivery channel platforms.
• Built IVR forecast volume prediction using SARIMA time series models with bias, trend, and pattern evaluation using Python and PySpark.
• Guided team members on multi-platform ETL solutions enabling full Adobe CJA rollout.

Developed ETL solutions for marketing campaigns, card acquisition, and decisioning platforms. Led data quality monitoring for Credit Line increase, fraud flagging, and credit risk systems processing $3B annually.

• Maintained RDBMS Data Lake-ODS ecosystem with 700+ stored procedures supporting $3B annual decisioning. Led weekly data triages for 9 months.
• Implemented 180+ major data quality fixes across 3,600+ tables and 900+ stored procedures improving fraud and credit line system accuracy.
• Developed fraud detection analytics achieving 20% reduction in fraudulent transactions using SQL, Python, and Tableau.
• Designed and developed 45 ETL solutions end-to-end for marketing campaign analytics using SSIS and T-SQL.
• Supported marketing segmentation, loss forecasting, charge-off estimations, behavior scoring, and applicant fraud flagging.
• Engineered 7 major Python-based projects for business process automation using pandas, numpy, pyodbc, scipy, and sklearn.

Teaching Assistant at Masters level for Data Science with Python & R, and Business Intelligence & Predictive Analytics. Contributed to PTSD healthcare analytics research integrating Oracle Cerner EHR systems.

• Teaching Assistant: Programming in Data Science with R and Python — Masters level.
• Teaching Assistant: Business Intelligence and Predictive Analytics with Data Mining — Masters level.
• Contributed to PTSD Health project integrating Oracle Cerner EMR systems for behavioral health risk indicator analytics.
• Covered statistical modeling, time series, regressions, decision trees, and Knime decision science modeling.

Primary liaison for IT risk assurance and regulatory reporting to RBI under SPARC. Led USD 70M IT procurement annually and ~$2M process improvement initiatives.

• Primary liaison for IT risk assurance to Reserve Bank of India under SPARC regulatory program.
• Led IT procurement of USD 70M per annum including RFP scrutiny, feasibility, and multi-vendor delivery.
• Led process improvement delivering ~$2M monetary benefit through policy revision and strategy formulation.
• Managed 7 ancillary app integrations to Core Banking using ISO 20022 financial messaging.
• Automated regulatory reporting reducing reporting time by 30% and improving compliance accuracy.
• Worked with CIO, CISO, and executive leaders on RCSA, technology risk, and vendor management.

Developed data warehouse reporting and QA solutions using SSIS, SSAS MDX, and SQL for IVR-CTI telecom projects. Built end-to-end ETL flows from source through data vault to OBIEE.

• Built ETL flows from source to staging, data vault, data marts, and OBIEE reporting for KPN and Telus Canada.
• Developed SSAS MDX and T-SQL reports for OLTP and data warehouse reporting.
• Performed test planning, defect tracking, RCA, and incident reporting in QC/ALM for IVR-CTI projects.