Headline

Data Engineer

About

I'm a Data & AI Engineer with 2 years of experience at Infosys, building scalable cloud-based data solutions across enterprise projects. Currently, I work on the Qualcomm account, where I develop and maintain Databricks data pipelines using the Medallion Architecture (Bronze, Silver, Gold). My work includes implementing business mappings, developing ETL workflows, and designing both full (historical) and incremental data loads to deliver reliable, high-quality datasets for analytics. Previously, I worked on Microsoft's Finance Data & Experience (FDnE) project, where I built enterprise-scale data pipelines using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Gen2, Scala, and PySpark, supporting Microsoft's financial reporting across multiple business domains. Beyond data engineering, I enjoy building AI-powered applications using Azure OpenAI (GPT-4) and developing full-stack web applications with React.js and Azure services. I enjoy solving problems end-to-end—from data ingestion and transformation to building applications that make data accessible and useful. Certifications AZ-900: Microsoft Azure Fundamentals DP-600: Microsoft Fabric Analytics Engineer Associate AI-102: Microsoft Azure AI Engineer Associate Core Skills Python • SQL • Scala • PySpark • Databricks • Azure Synapse Analytics • Azure Data Factory • Microsoft Fabric • Azure Data Lake Gen2 • Power BI • Azure DevOps • CI/CD • React.js I'm open to opportunities in Data Engineering, AI Engineering, Cloud Engineering, and Full Stack Development across India and remote. Email: tvspraneeth6502@gmail.com

Location

Hyderabad

AI stack

antigravity

claude code

claude

codex

cursor

perplexity

Work experience

Digital Specialist Engineer at Infosys, Mar 2025 - Present · 1 yr 6 mos, Hyderabad, Working on the Microsoft Finance Data & Experience (FDnE) project, delivering enterprise-scale data infrastructure across multiple Lines of Business. - Implemented the ATRA framework to orchestrate financial data flow from transactional to analytical systems - Engineered Scala-based transformation logic to process large-scale financial datasets - Integrated data into Azure Data Lake Gen2 & Azure Synapse Analytics for analytical reporting - Automated deployment workflows using Azure Data Factory and CI/CD pipelines in Azure DevOps, reducing manual effort by ~40% - Managed cloud resources (Compute, Networking, Storage) via Azure Portal and Infrastructure as Code (IaC) Tech: Azure Data Factory | Synapse Analytics | ADLS Gen2 | Scala | PySpark | Python | Azure DevOps | CI/CD

Digital Specialist Engineer Trainee at Infosys, Nov 2024 - Mar 2025 · 5 mos, Mysore, Karnataka, India

Full Stack Engineer at EDUTECHEX GLOBAL, Apr 2024 - Nov 2024 · 8 mos, On-site

Education

Bachelor of Technology - BTech, Computer Science Engineering, vignan's institute of information technology

Intermediate, Maths Physics Chemistry, Narayana Junior College - India

Public links

github: https://github.com/thriver652

codeforces: https://codeforces.com/profile/thriver_652