Headline

Data & AI Engineer | Enterprise Data Platforms | SQL | Python | Azure | Generative AI

About

Technology has always interested me most when it solves real business problems and not when it simply produces reports. Over the past 7+ years, I've worked across consulting, hospitality, SaaS, staffing, and edTech, helping organizations build reliable data platforms, automate business processes, and deliver trusted analytics that support better decision-making. My experience spans SQL, Python, Azure, ETL pipelines, Power BI, API integrations, data quality, and reporting. I've designed and improved data workflows, built operational dashboards, implemented validation frameworks, and collaborated with cross-functional teams to translate business requirements into scalable data solutions. Today, I'm focused on the next evolution of enterprise technology: Generative AI. I'm actively building expertise in Retrieval-Augmented Generation (RAG), AI Agents, intelligent automation, and Azure AI to develop AI-powered applications that integrate seamlessly with enterprise data platforms and business workflows. I enjoy solving complex problems, improving operational efficiency, and building systems that make data more accessible, reliable, and actionable. Core Expertise • SQL & Python • Data Engineering & ETL • Azure & Cloud Data Solutions • Data Quality & Governance • Power BI & Analytics • Process Automation • API Integrations • Generative AI (Learning) • RAG & AI Agents (Building)

Location

Bengaluru

AI stack

openai

Work experience

Data Quality Professional at emagine, Jan 2026 - Present · 8 mos, Bengaluru, Karnataka, India, Developed Power BI dashboards tracking sourcing performance and operational KPIs, providing leadership visibility into recruitment pipeline health. Designed validation workflows and monitoring checks to maintain reliability of multi-source datasets across sourcing systems. Supported the development of data pipelines and transformation processes used for operational reporting and analytics datasets. Conduct root-cause analysis of data inconsistencies and implement corrective processes to improve dataset integrity. Collaborate with sourcing and operations teams to define data governance standards and reporting requirements.

Analyst - Data Engineer at Invenics, Jun 2022 - Nov 2025 · 3 y 5 mo, Canary Wharf, London, United Kingdom, Designed and maintained ETL pipelines using SQL, Python, and SAP Data Intelligence to ingest and transform financial datasets for enterprise reporting systems. Integrated external vendor APIs and stock-market datasets into analytics pipelines supporting financial reporting. Implemented validation checks across SQL and SAP HANA datasets, reducing reconciliation discrepancies by 15%. Automated reporting workflows using Python, reducing processing time by 40%.

Program Operations Associate at Springboard, Dec 2019 - Jun 2024 · 4 yrs 7 mos, Bengaluru, Karnataka, India, Managed CRM data operations across HubSpot, supporting revenue pipeline tracking and operational reporting. Built Power BI dashboards monitoring lead-to-enrollment conversion metrics and sales pipeline performance. Automated operational workflows using Python and Zapier, improving response times by 35%. Implemented CRM data cleansing initiatives improving forecasting accuracy.

Online Instructor at WhiteHat Jr, Oct 2017 - Dec 2019 · 2 yrs 3 mos, Bangalore Urban, Karnataka, India, Delivered remote programming instruction, teaching foundational coding and logical problem-solving to students through structured lessons and project-based learning. Mentored students through coding exercises and debugging sessions, improving understanding of programming concepts and analytical thinking.

Education

Master of Science, Data Science and Analytics, University of Hertfordshire

Bachelor of Technology - BTech, Computer Science and Engineering, SRM IST Chennai