Technologies 
Azure, Databricks, SAP, Delta Lake, Power BI, Unity Catalog, Terraform, GitHub, Alation, S/4HANA, Cloud Data Warehousing, Azure Data Factory, .NET Core, Microservices, RabbitMQ, NCache, Angular 7, Distributed Systems, REST APIs, Data Lake Analytics, Stream Analytics, Azure SQL DW, .NET/C#, WPF, Graph Algorithms, Bing Maps, Lucene, Enterprise Architecture, WCF, WinForms, ASP.NET, Windows Services, C/C++, MFC, COM/DCOM, Linux Kernel, GDB 

Industries 
Petrochemical, Oil & Gas, Cloud Computing, Software Engineering, Data Engineering & Analytics, Telecommunications, Logistics & Supply Chain, Enterprise IT Solutions, Technology Consulting. 

Work Experiences 

Redacted company 
Head of Data Engineering
November 2021 - Present | The Woodlands, Texas, United States

• Established and led the Global Data Engineering capability at the company, jointly managing a strategic budget of over $60M. Scaled the Data & Analytics team from zero to 50+ members, fostering a global, high-performing team aligned with business objectives.

• Spearheaded the Request for Proposal (RFP) process for various platforms and technologies to democratize data across the enterprise. Led the successful deployment of the Alation Data Catalog, a key initiative to enhance data governance, collaboration, and self-service analytics. The Alation platform was rolled out across critical functions including Supply Chain, Finance, and R&D, enabling teams to discover, curate, and trust enterprise data more effectively.

• Drove the adoption of AI and Generative AI to deliver impactful use cases, such as the Digital Twin and Document Classification initiatives, resulting in over $20M in value delivered. These innovations drove operational efficiencies, better decision-making, and significantly increased user engagement across business units.

• Partnered with Microsoft and Databricks to bring SAP ECC Data and BW HANA workloads to Azure Databricks, paving the way for a recurring value of over $12M by 2025. This cloud migration improved data processing and analytics capabilities, enhancing scalability and future-proofing the organization’s data infrastructure.

• Championed the intersection of Alation and LLMs, leveraging data ontology and structured knowledge retrieval to enhance accuracy and mitigate hallucinations. Evaluated RAG techniques and fine-tuned domain-specific models while considering the cost and maintenance challenges of fine-tuning.

• Hands-on with vector stores, chunking strategies, and ontology development, utilizing Databricks' vector store and experimenting with tools like Chunkwiz. Assessed agentic approaches with LangChain and LangGraph to enhance retrieval and automation.

Chevron
Technical Lead
November 2018 - October 2021| Greater Houston, Texas, United States

• Led the delivery of 15+ cloud-native applications to optimize drilling operations and reduce operational costs.

• Engineered data pipelines for automating finance and procurement workflows, accelerating capital project management processes.

• Developed microservices-based solutions for real-time drilling data monitoring, improving decision-making efficiency.

• Introduced Azure technologies like Azure Data Factory and Azure Databricks to scale data processing and analytics capabilities.

• Promoted agile practices within the team, improving deployment frequency and fostering continuous improvement.

Various Clients
Engineering Management Consultant
June 2014 - November 2018 | Greater Houston, Texas, United States

• Delivered an Azure migration pilot for a major Oil & Gas Supermajor, migrating 30% of upstream applications to Azure in 10 months.

• Designed edge computing solutions for real-time data collection in remote oilfield environments, optimizing operational workflows.

• Developed a fleet management Android app that transitioned paper-based scheduling to an electronic system, improving fleet utilization.

• Led cloud adoption initiatives, transitioning clients from legacy systems to hybrid and multi-cloud infrastructures.

• Created custom data pipelines and analytics solutions to streamline business processes and improve decision-making.

Intellisoft Technologies
Senior Software Engineering Manager
January 2007 - June 2014 | Greater Houston, Texas, United States

• Transitioned the development team from waterfall to agile, increasing deployment frequency by 650%.

• Developed a unified enterprise search engine using Lucene, consolidating data from multiple systems.

• Integrated DevOps practices, automating deployment and improving software quality and delivery speed.

• Delivered scalable enterprise architecture solutions, enhancing data integration and system performance.

• Mentored a high-performing team, promoting continuous learning and improving productivity.

Unisys
Senior Software Engineer
August 2005 - January 2007 | Bengaluru, Karnataka, India

• Developed a server health monitoring platform, enabling proactive performance management.

• Designed backend solutions for real-time server performance tracking, reducing downtime.

• Enhanced scalability and reliability of Unisys server products, addressing system bottlenecks.

• Implemented automated monitoring tools that provided critical system alerts, reducing manual troubleshooting.

• Collaborated with teams to improve system performance and operational efficiency.

Infosys
Software Engineer
July 2003 - August 2005 | Bengaluru, Karnataka, India

• Enhanced the DOCSIS network’s upstream capacity and reliability by 3X for Terayon cable modems, eliminating the 'least-common-denominator effect' on DOCSIS 1.x and 2.0 networks.

• Delivered significant performance improvements for Motorola scanners, achieving a 28% reduction in time to scan packages, which directly increased operational efficiency for DHL.

• Developed and optimized software components to improve the performance and scalability of the Terayon cable modem termination system.

• Utilized Linux Kernel, C/C++, and debugging tools like GDB to troubleshoot and enhance low-level system components, ensuring optimal performance.

• Collaborated with cross-functional teams to integrate enhancements into production systems, improving the overall functionality of both the DOCSIS network and scanning hardware.

Education

Indian Institute of Information Technology
Bachelor of Technology (B.Tech.), Information Technology