Srinivas Nath
@srinivasnath
Seasoned data engineer and .NET architect driving cloud-native, AI-enabled solutions.
What I'm looking for
I am a seasoned technology specialist with 19 years of experience in Data Engineering, .NET development, and cloud-native architectures across finance, insurance, and energy domains.
I design and build scalable ELT/ETL pipelines and orchestrate complex workflows using tools such as Azure Data Factory, Dagster, and Snowflake, while integrating modern data-platform engineering practices into application ecosystems.
I have a strong track record designing microservices and APIs with .NET Core, modernizing legacy systems to Azure and AWS, and implementing DevOps pipelines to enable zero-downtime deployments. I have delivered measurable improvements in performance, observability, and automation across multiple projects.
I am passionate about Generative AI and agentic AI integration, having built LangChain/Azure OpenAI POCs, RAG pipelines, and internal AI copilots to boost developer productivity and support intelligent, data-driven applications.
Experience
Work history, roles, and key accomplishments
Data Engineer / Full Stack Developer
Cerebra Consulting
Nov 2024 - Jun 2025 (7 months)
Architected centralized ETL/ELT pipelines and Dagster orchestration for global carbon registries, built ADF ingestion workflows and .NET Core APIs to expose curated datasets, improving data observability and operational reliability.
Designed and optimized serverless microservices and Azure DataFactory pipelines, implemented DevOps CI/CD pipelines and automated QA, reducing response times and manual test cycles while enabling zero-downtime deployments.
Led development of the CERAWeek Energy Portal using .NET Core and Angular, integrated Azure Functions for image handling, and implemented OAuth2 and CI/CD pipelines to improve security and deployment automation.
Education
Degrees, certifications, and relevant coursework
Bangalore University
Bachelor of Engineering, Computer Science
1990 - 1995
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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