Headline

Tech Lead | Azure & Databricks Data Platforms | Data Engineering | PySpark | Lakehouse | Cloud Architecture

About

I am a technology professional with 13+ years of experience across enterprise cloud, data platforms, Azure architecture, data engineering and technical solutioning. My career has evolved from cloud infrastructure and data-platform engineering into Azure solution architecture and, more recently, modern enterprise data platforms using Azure Databricks and Lakehouse technologies. My core experience includes Azure Databricks, PySpark, Delta Lake/Lakehouse, Azure Data Factory, ADLS Gen2, Azure Synapse and Power BI. I have also worked with Azure Functions, Event Grid, Service Bus/Topics, API Management, Key Vault, Microsoft Entra ID, Unity Catalog and Azure DevOps. I have experience contributing to scalable ETL/ELT solutions, orchestration, event-driven architectures, data integration, governance, security and technical design. My earlier experience includes enterprise Azure solutioning, cloud migration and modernization, hybrid/multi-cloud environments, data governance and cloud performance and cost optimization. In my recent Tech Lead role, I worked on enterprise production data and contributed to an Azure-based data platform involving Databricks, PySpark, Delta Lake/Lakehouse and event-driven architecture for energy-components data. I also contributed ideas around incremental processing, Change Data Feed (CDF) and MERGE-based processing frameworks. What I enjoy most is understanding the bigger picture behind a technology problem - how data moves through a platform, how different services interact, where reliability and scalability matter, and how an architecture can be made simpler and more effective. I am currently focused on opportunities around Azure Data Platforms, Databricks, Data Engineering and Technical Leadership, with the longer-term goal of growing into Data Platform and Data & AI Architecture roles. Core areas: Azure | Databricks | PySpark | Delta Lake | Lakehouse | ADF | ADLS Gen2 | Synapse | Event-Driven Architecture | Data Platforms | Cloud Architecture | Data Governance | Azure DevOps

Location

Bengaluru

AI stack

gemini

github copilot

openai

Work experience

Technical Lead at Chevron, Dec 2025 - Aug 2026 · 9 mos, banglore, • Worked on enterprise Production Data within an Azure-based enterprise data-platform environment, collaborating with engineering and business stakeholders across teams. • Contributed to data-platform solutions using Azure Databricks, PySpark, ADLS Gen2, Azure Data Factory, Azure Synapse and Power BI for ingestion, transformation, orchestration and analytics. • Used Databricks and PySpark notebooks for large-scale ETL/ELT processing within an enterprise framework using reusable handlers. • Worked with Delta Lake/Lakehouse patterns and contributed design ideas around Change Data Feed (CDF), MERGE and incremental processing to improve data-processing efficiency. • Contributed to the design of an event-driven architecture for energy-components data, using Azure integration patterns involving Event Grid, Service Bus/Topics and Azure Functions. • Worked with platform security and integration services including Azure Key Vault, Microsoft Entra ID, APIM and Unity Catalog, with Azure DevOps supporting engineering delivery. • Contributed to technical discussions and selected deliverables, collaborating with US counterparts and cross-functional teams to clarify requirements and evaluate technical approaches. • Gained architectural exposure to IoT Hub, Azure Digital Twins and API-based integration, while distinguishing solution-level understanding from direct hands-on implementation.

Lead Data Architect at Chevron, May 2025 - Dec 2025 · 8 mos, Bengaluru, Contributed to enterprise data-platform architecture and solution design for Production Data, working across Azure data, integration and analytics services and collaborating with engineering stakeholders to evaluate scalable data-processing and integration approach

Senior Technical Lead at Mercedes-Benz Research and Development India, Oct 2023 - Feb 2025 · 1 yr 5 mos, Bengaluru, • Led end-to-end technical solutioning for a modern data platform within the Manufacturing Engineering Quality Management vertical. • Developed PySpark transformations to align and prepare Gold-layer data for real-time dashboards and business consumption. • Tested and validated data pipelines within a hub-and-spoke architecture, focusing on data consistency and performance. • Worked across technical and business requirements to translate manufacturing data needs into scalable platform solutions.

Associate Consultant at HCL Technologies, Apr 2021 - Oct 2023 · 2 yrs 7 mos, Bengaluru, Built scalable Azure Data Factory and Azure Synapse ingestion pipelines processing 20TB+ of data daily. • Integrated Microsoft Purview for end-to-end data governance, cataloguing and data discovery. • Architected and deployed enterprise Azure solutions, contributing to 30–40% improvement in cloud performance and cost optimization. • Created architecture diagrams and technical documentation for client and internal engineering teams. • Participated in end-to-end technical discussions for digital adoption and Azure solution design. • Conducted governance and security assessments across hybrid environments using Azure Security Center and Defender for Cloud.

Senior Software Engineer at Infinite Computer Solutions, Sep 2020 - Mar 2021 · 7 mos, Bengaluru, Karnataka, India, Consulted on full Azure migration strategy by analyzing existing data domain requirements,Designed processes to validate and reconcile BusinessObjects data with Azure Synapse.

Tech Lead - Cloud and Data at Cognizant, Apr 2018 - Aug 2020 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Part and Lead Cloud Technical & Big Data Platforms.Worked on end to end Data lake and Data Analytics Solutions. Ingesting, Storing, Processing and pushing the Stream and Batch data for Consumer in GCP and in Azure. Responsible for testing end to end pipelines for the Solutions, Worked on AI and ML platforms in Cloud for Data driven activities

Education

Bachelor of Engineering - BE, Information science, J N N College of Engineering, SHIMOGA

Pre University, Presidency College, Bangalore