Harinandhan R

About Harinandhan R

Data Engineer with 3+ years of experience designing and building scalable data platforms and analytics solutions for global clients, particularly in the FMCG domain. I specialize in developing robust data pipelines, optimizing data workflows, and enabling data-driven decision-making through modern cloud technologies.Currently working at Eucloid as a Data Engineer, I focus on building efficient data ingestion and transformation frameworks using Azure Data Factory, Databricks, and other Azure services. I enjoy solving complex data challenges, improving system performance, and delivering reliable datasets that power reporting, analytics, and downstream applications.Key strengths and experience:* Designing and optimizing end-to-end data pipelines and ETL/ELT frameworks* Improving data workflows and reducing report delivery timelines (achieved up to 35% reduction)* Delivering technical enhancements that significantly improved product adoption and usage* Strong hands-on expertise in SQL, PySpark, Python, and DAX* Working closely with cross-functional stakeholders to integrate systems and deliver business value* Experience building cloud-based analytics solutions on Azure and Databricks* Recognized with the *Star Award* for commitment, ownership, and impactI’m passionate about building clean, scalable, and maintainable data systems, and continuously learning new technologies in the data engineering and analytics space.Always open to connecting with fellow data professionals, learning from new challenges, and contributing to impactful data initiatives.

Experience

1. Data and Analytics Consultant

   Thorogood

   Jul 2023 — Present · Bangalore, IN

   Enhanced, maintained, and supported an ingestion framework for Retail data for 80+ markets using Databricks, Azure Data Factory, Azure Storage Explorer and Azure Analysis Services for an FMCG customer.• Spearheaded the migration of 20+ Notebooks and 15+ data pipelines from Nielsen Local to Nielsen Discover, reducing report delivery time by 35% and optimizing data refresh workflows for global users.• Implemented a series of impactful enhancements to the product, leveraging SQL, end-to-end Azure stack, Databricks, and various visualization tools. This resulted in a remarkable increase in tool usage over two years, growing from 50 unique users per week to an average of over 600 users currently.• Improved data processing efficiency by 40% for an FMCG client through automated mapping, aggregation, and validation, ensuring reliable, high-quality reporting.• Developed and maintained 50+ Databricks spark notebooks, 20 + Azure Data factory pipelines for data ingestion and enrichment. • Orchestrated the integration of the Wholesaler system with an existing retail analysis tool in collaboration with client teams across Europe, improving decision-making for market strategy.• Transformed DAX measures into optimized PySpark code, improving processing efficiency by up to 30% for a client’s Generative AI model.

Education

• PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2019 — 2023