Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Kiran Kumar, a Senior Data Engineer and AI Integration Engineer with 13+ years of experience delivering end-to-end data platforms, real-time data processing, and AI-enabled solutions across cloud and hybrid environments. I design scalable data pipelines, implement robust data quality, and build ML-ready features that power healthcare, financial services, and education domains. I enjoy collaborating with cross-functional teams to translate business needs into production-grade data solutions and secure, auditable data flows. In my current role at NUS, I architect cloud-native data architectures on Azure, develop streaming ML pipelines with Databricks, and enable HIPAA-compliant data governance. I’m passionate about optimizing costs with smart data tiering, delivering low-latency alerts for critical events, and advancing MLOps practices to operationalize AI at scale.…Hi, I’m Kiran Kumar, a Senior Data Engineer and AI Integration Engineer with 13+ years of experience delivering end-to-end data platforms, real-time data processing, and AI-enabled solutions across cloud and hybrid environments. I design scalable data pipelines, implement robust data quality, and build ML-ready features that power healthcare, financial services, and education domains. I enjoy collaborating with cross-functional teams to translate business needs into production-grade data solutions and secure, auditable data flows. In my current role at NUS, I architect cloud-native data architectures on Azure, develop streaming ML pipelines with Databricks, and enable HIPAA-compliant data governance. I’m passionate about optimizing costs with smart data tiering, delivering low-latency alerts for critical events, and advancing MLOps practices to operationalize AI at scale.

Kiran Kumar

Data Scientist, Data Analyst, Full Stack Developer, +2





Hi, I’m Kiran Kumar, a Senior Data Engineer and AI Integration Engineer with 13+ years of experience delivering end-to-end data platforms, real-time data processing, and AI-enabled solutions across cloud and hybrid environments. I design scalable data pipelines, implement robust data quality, and build ML-ready features that power healthcare, financial services, and education domains. I enjoy collaborating with cross-functional teams to translate business needs into production-grade data solutions and secure, auditable data flows. In my current role at NUS, I architect cloud-native data architectures on Azure, develop streaming ML pipelines with Databricks, and enable HIPAA-compliant data governance. I’m passionate about optimizing costs with smart data tiering, delivering low-latency alerts for critical events, and advancing MLOps practices to operationalize AI at scale.…Hi, I’m Kiran Kumar, a Senior Data Engineer and AI Integration Engineer with 13+ years of experience delivering end-to-end data platforms, real-time data processing, and AI-enabled solutions across cloud and hybrid environments. I design scalable data pipelines, implement robust data quality, and build ML-ready features that power healthcare, financial services, and education domains. I enjoy collaborating with cross-functional teams to translate business needs into production-grade data solutions and secure, auditable data flows. In my current role at NUS, I architect cloud-native data architectures on Azure, develop streaming ML pipelines with Databricks, and enable HIPAA-compliant data governance. I’m passionate about optimizing costs with smart data tiering, delivering low-latency alerts for critical events, and advancing MLOps practices to operationalize AI at scale.

Available to hire

Hi, I’m Kiran Kumar, a Senior Data Engineer and AI Integration Engineer with 13+ years of experience delivering end-to-end data platforms, real-time data processing, and AI-enabled solutions across cloud and hybrid environments. I design scalable data pipelines, implement robust data quality, and build ML-ready features that power healthcare, financial services, and education domains. I enjoy collaborating with cross-functional teams to translate business needs into production-grade data solutions and secure, auditable data flows.

In my current role at NUS, I architect cloud-native data architectures on Azure, develop streaming ML pipelines with Databricks, and enable HIPAA-compliant data governance. I’m passionate about optimizing costs with smart data tiering, delivering low-latency alerts for critical events, and advancing MLOps practices to operationalize AI at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Associate Architect Data Engineering / AI Integration at National University of Singapore

July 1, 2025 - July 1, 2025

Led cloud-native ETL pipelines on Azure Data Factory and Databricks; designed, implemented, and maintained data ingestion, processing, and transformation pipelines on Azure and Hadoop platforms. Implemented real-time medical IoT data ingestion using Cosmos DB for 50,000+ events/second with sub-10ms latency for critical alerts, plus TTL-based archival to data lake. Created immutable audit trails using Cosmos DB Change Feed with Azure Functions for HIPAA-compliant governance and cost optimization via hot-cold data tiering. Developed Databricks Structured Streaming ML pipelines consuming medical telemetry from Event Hub, enabling real-time outcome predictions with ~2-second scoring latency on petabyte-scale history. Built scalable multi-node processing solutions with delta-based incremental loading and data quality gates, delivering 99.9% data accuracy. Integrated a secure enterprise chatbot using OpenAI APIs with a RAG approach, achieving ~85% query resolution while maintaining data secu

Data Analytics Adviser & Data Engineer at ExxonMobil Singapore

September 30, 2020 - September 30, 2020

Contributed to Lubes Value Chain Analytics solutions; collaborated with manufacturing, transportation, and warehouse teams to address key business challenges. Built analytic models and tools to optimize the value chain, delivering about $10M in benefits as part of the Data, Analytics, Process & Systems initiative. Engineered large-scale data processing pipelines with Apache Spark and Hadoop for petabyte-scale upstream data, achieving ~45% performance improvement. Implemented real-time processing of drilling and production data on Hadoop/Spark, reducing data latency from hours to minutes. Developed Tableau dashboards for inventory and transportation optimization and built a regression-based model to improve distributor demand forecast accuracy.

Data Engineer at Standard Chartered Bank Singapore

April 30, 2019 - April 30, 2019

Contributed to IFRS 9 regulatory reporting by building a data platform from scratch, boosting data reliability by 25%. Developed dashboards using Tableau and MicroStrategy; engineered data ingestion from Hadoop/Hive to EDW-TD and created scripts to load data into Hive for downstream consumption. Played a key role in data preparation, governance, and performance optimization of batch and report pipelines.

Data Engineer at OCBC Bank Singapore

September 30, 2016 - September 30, 2016

Led AML data extraction and warehousing efforts, sourcing data from MVS datasets, flat files, Excel, and databases. Implemented Teradata FAST LOAD, MULTI LOAD, and TPUMP to optimize data loading; refined Teradata views and SQL for improved batch and reporting performance; supported the Data Integration/Data Warehouse team and contributed to data quality and governance initiatives.

Big Data Developer at Tetrasoft India / WellPoint Health Insurance

December 31, 2015 - December 31, 2015

Role focused on large-scale data processing and analytics for health insurance data. Built and tuned data pipelines on Hadoop/Spark, enabling real-time and batch processing to support data warehousing and analytics initiatives across health plans and provider networks.

ETL Developer at ICICI Bank

June 30, 2013 - June 30, 2013

Developed ETL processes using Informatica, creating mappings and transformations to extract data from various databases into staging areas and the data warehouse. Monitored daily jobs via Informatica Workflow Monitor, and optimized mappings to improve batch and query performance.