Ajay V Raj

Software Engineer

Bengaluru, Karnataka, India14 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud data engineering with 13+ years of experience.
Proven track record in cloud migration and data lakehouse adoption.
Strong background in Generative AI and machine learning integration.

Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on cloud data solutions and software engineering.

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Skills

Core Skills

Data ArchitectureCloud SolutionsMachine LearningWeb DevelopmentSoftware Engineering

Other Skills

AzureDatabricksSnowflakeDockerKubernetesCI/CDData PipelinesLakehouse ArchitectureAzure Data LakeMLFlowC#ASP.NETSQLKendo UIBootstrap

About

Lead Cloud Data Engineer with 13+ years of experience specializing in designing, building, and optimizing data architectures on platforms like Azure, Snowflake, Databricks, and modern cloud-native stacks. Have demonstrated a history of working in Education, Financial Services and Supply Chain Domains. Skilled in C#, Python, T-SQL, ASP.NET, Node/ExpressJS, Web API, Web Services, WCF, Object Oriented Design principles and patterns. Following Agile practices religiously. Strong engineering professional with a Bachelor’s Degree focused in Computer Science and Engineering. I’ve led strategic initiatives in cloud migration, data lakehouse adoption, containerized deployments, and real-time data processing. With a strong background in both data engineering and full-stack application development, I bridge the gap between business needs and technical execution — ensuring performance, security, and scalability. I also have a deep interest in Generative AI, with hands-on experience in prompt engineering, vector search, and LLM integrations for intelligent content and search automation.

Experience

14 yrs 9 mos

Total Experience

4 yrs 11 mos

Average Tenure

9 yrs 4 mos

Current Experience

Intel corporation

Software Development Engineer

Jan 2017 – Present · 9 yrs 4 mos · Bengaluru, Karnataka

Lead Cloud Data Engineer | Azure | Snowflake | Databricks | Scalable Data Platforms | AI/ML Enablement
Architected and implemented cloud-native data solutions using Azure, Databricks, and Snowflake, supporting high-volume analytics workloads.
Delivered a scalable cloud-based architecture that processes terabytes of structured and unstructured data daily, enabling analytics and machine learning capabilities.
Built scalable real-time data pipelines and integrated lakehouse architecture for structured and semi-structured data processing.
Conducted machine learning workflow POCs and operationalized ML models using MLFlow.
Explored emerging technologies such as Azure Cognitive Search, Text2SQL NLP, LLM's and Generative AI frameworks.
Deployed microservices using Docker/Kubernetes and led DevOps adoption with CI/CD pipelines via Azure DevOps.
Developed a centralized logging framework for distributed systems using ELK Stack, MongoDB, and ExpressJS.
Delivered full-stack applications using AngularJS, React,.NET Core, and REST APIs to streamline business workflows.

AzureDatabricksSnowflakeData ArchitectureMachine LearningDocker+3

Envestnet india

Software Engineer

Nov 2014 – Dec 2016 · 2 yrs 1 mo · Thiruvananthapuram Area, India

Developed core web modules for portfolio and advisor management systems using C#, ASP.Net, and SQL, supporting financial professionals and end-users with reliable tools.
Enhanced user interfaces for financial applications, integrating Kendo UI, Bootstrap, and AngularJS to improve usability and efficiency.
Led the automation of QA processes by implementing a Selenium-based test framework, streamlining quality assurance and accelerating release cycles.
Engineered backend systems, including data storage and reporting components, optimizing data flow and analysis for business stakeholders.
Collaborated within Agile teams, demonstrating a commitment to continuous improvement and high-quality software delivery.

C#ASP.NETSQLKendo UIBootstrapAngularJS+3

Rm education

Software Engineer

Jul 2011 – Nov 2014 · 3 yrs 4 mos

Contributed to the development and maintainance of a comprehensive e-marking system using .NET technologies (C#.Net, WCF, SQL Server), streamlining electronic evaluation processes for educators and examiners.
Designed and implemented web services and background Windows services, ensuring scalable, robust support for real-time and batch processing of assessment data.
Engineered essential database components (tables, views, stored procedures) to optimize storage, retrieval, and auditing of data.
Built and customized SSRS reports based on diverse business requirements, delivering actionable insights to stakeholders.

C#WCFSQL ServerSSRSWeb DevelopmentSoftware Engineering