Rohit Nair

About Rohit Nair

I am a passionate Data Engineer with hands-on experience in building scalable, high-performance data solutions using both Azure-native services and open-source Big Data technologies. My core focus lies in designing robust, end-to-end data pipelines that empower organizations to make informed, data-driven decisions.In my current role, I lead critical data migration and transformation initiatives involving complex data sources—structured, semi-structured, streaming, and cloud-based. I’ve developed and optimized ETL workflows using technologies like Azure Data Factory, Databricks, Apache Spark, Snowflake, and Airflow, enabling efficient data movement and real-time analytics across systems.I have deep expertise in:Azure Data Services: ADF, Databricks, Synapse Analytics, ADLS Gen2, Azure DevOpsOpen-Source Stack: Apache Spark, Delta Lake, Apache Airflow, Apache IcebergProgramming & Query Languages: Python, SQL, ScalaData Storage & Processing: Snowflake, MongoDB, Elasticsearch, MAPR, HadoopMy experience includes implementing cross-language logging frameworks (Scala & Python), optimizing Spark jobs and clusters (achieving up to 25% faster execution), and enhancing data quality through profiling and cleansing strategies. I’ve also worked on CI/CD deployments across multiple environments using GitHub and Azure DevOps.Whether it’s handling terabytes of near real-time data, transforming raw data into curated layers, or architecting event-driven pipelines, I’m committed to delivering clean, reliable, and performance-tuned data systems. My goal is to continue solving real-world data challenges with scalable cloud-first solutions — while constantly learning and evolving with the data ecosystem.

Experience

1. Data Engineering Sr Analyst

   Accenture

   Mar 2026 — Present

Education

• Rajasthan Technical University

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021

• Global Institute of Technology,Jaipur

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021