Dec 2019 – Dec 2025 · 6 yrs · Chennai Area, India

• As a Data Architect at Citicorp, I lead the design and implementation of enterprise-scale data platforms, driving modernization initiatives on Azure. My role focuses on building scalable, secure, and high-performance data ecosystems that support real-time analytics, regulatory compliance, and business innovation.
• Key Contributions:
• Enterprise Data Architecture – Designed and implemented an enterprise Azure-based data lakehouse using Data Lake Gen2, Azure Synapse, and Databricks, enabling scalable analytics for billions of trading records.
• Hybrid Ingestion Framework – Architected a real-time + batch ingestion platform leveraging Apache Kafka, Spark Structured Streaming, and Azure Data Factory, reducing data latency from hours to near real-time.
• Data Governance & Security – Defined governance frameworks and metadata strategy using Azure Purview and Unity Catalog, ensuring data quality, lineage, and compliance with regulatory requirements.
• Cloud Migration – Led the migration of critical trading systems from on-premise Hadoop/Hive to Azure Synapse Analytics, reducing query response time by 40% and cutting infrastructure costs by 30%.
• Stakeholder Collaboration – Partnered with cross-functional teams and business leaders to align data architecture with strategic initiatives, including DORA metrics, operational intelligence, and AI/ML adoption.
• Innovation & Best Practices – Established data architecture standards, reusable frameworks, and design patterns for over 50+ applications, ensuring consistency, scalability, and cost optimization across the enterprise.

May 2017 – Dec 2019 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

• As a Data Scientist at Harman, I developed predictive models, optimized data pipelines, and collaborated with engineering teams to deliver insights that powered next-generation connected solutions. My role blended advanced analytics with scalable data engineering, laying the foundation for modern cloud-based architectures I design today.
• Key Contributions:
• Predictive Analytics – Built machine learning models for predictive maintenance and anomaly detection, improving product reliability and reducing downtime by 25%.
• Big Data Pipelines – Developed ETL frameworks using Spark and Python, processing large volumes of IoT data from connected devices to generate actionable insights.
• Statistical Modeling – Applied statistical methods (regression, clustering, time series analysis) to optimize customer engagement and enhance product intelligence.
• Data Visualization – Created interactive dashboards (Tableau/Power BI) for business stakeholders, enabling real-time monitoring of KPIs.
• Cross-Functional Collaboration – Partnered with engineering and product teams to translate business needs into data-driven solutions, bridging the gap between analytics and architecture.

Nov 2016 – Apr 2017 · 5 mos · Bengaluru Area, India

• As a Data Architect at Indiabulls, I designed and implemented enterprise data solutions to support financial services operations, regulatory compliance, and advanced analytics. My role focused on building scalable data ecosystems that integrated diverse data sources, optimized performance, and delivered business value.
• Key Contributions:
• Enterprise Data Warehouse (EDW) – Architected and implemented a centralized data warehouse solution to consolidate data from multiple business lines (loans, housing finance, investments), enabling a single source of truth for reporting and analytics.
• Cloud Data Strategy – Contributed to the design of cloud-ready data platforms with a strong foundation in data governance, metadata management, and scalability.
• Data Integration – Designed and optimized ETL/ELT pipelines (Informatica/SQL/Spark) to integrate structured and unstructured data across customer, financial, and operational systems.
• Performance & Optimization – Improved data processing throughput by 30% through data model redesign, partitioning strategies, and query optimization.
• Business Intelligence Enablement – Delivered data models and reporting frameworks for regulatory compliance, credit risk analysis, and customer insights using BI tools (Power BI, Tableau).
• Collaboration & Leadership – Partnered with business leaders and compliance teams to align data strategy with business priorities, ensuring data platforms supported both operational efficiency and long-term growth.

Feb 2014 – Oct 2016 · 2 yrs 8 mos

• As a Data Engineer at Cognizant, I was responsible for designing and building robust data pipelines, ensuring data quality, and enabling downstream analytics for global clients. I worked extensively with big data technologies, ETL frameworks, and relational databases to transform raw data into business-ready insights.
• Key Contributions:
• Data Pipeline Development – Built ETL pipelines using Informatica, SQL, and Python, enabling smooth data integration from multiple source systems into data warehouses.
• Big Data Processing – Developed and optimized data workflows on Hadoop and Spark, handling large-scale datasets for enterprise clients in BFSI and retail domains.
• Data Modeling – Designed relational and dimensional data models to support reporting and analytical solutions, improving data usability and reducing query complexity.
• Performance Optimization – Tuned SQL queries, indexing strategies, and partitioning schemes to enhance data processing performance by 20–30%.
• Collaboration – Worked closely with business analysts and solution architects to translate business requirements into scalable, production-ready data solutions.
• Data Quality & Governance – Implemented validation and reconciliation frameworks to ensure data accuracy and compliance with client standards.

Dec 2010 – Jan 2014 · 3 yrs 1 mo

Dec 2006 – Nov 2010 · 3 yrs 11 mos · Chennai