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Nikhil Agrawal

@nikhilagrawal

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Senior Data Engineer specializing in Azure, Databricks, ETL pipelines, and scalable big-data solutions.

India

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What I'm looking for

I seek roles where I can design and modernize cloud data architectures, lead ETL and migration projects, mentor teams, and deliver measurable analytics impact in collaborative, growth-focused environments.

I am a Senior Data Engineer with deep expertise in Azure Cloud and Databricks, focused on designing and delivering scalable data architectures and high-impact ETL solutions for large retail clients across the GCC. I have led Azure migrations, built centralized data infrastructures, and implemented performance optimizations using SQL, Python, and PySpark.

I have a track record of working as the sole data engineer for organizations and leading cross-functional teams to deliver enterprise-grade solutions, including cloud migrations, real-time analytics enablement, and unified analytics platforms that improved operational efficiency and supported data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

ITCAN Technology

Jul 2024 - Present (1 year 11 months)

Upgraded legacy infrastructure to a modern Databricks-based data architecture and built a centralized data platform integrating HubSpot and other sources, maintaining the end-to-end data stack as the sole data engineer during a 3-month on-site engagement.

Databricks Azure ETL Python Pyspark Azure Data Factory Delta Lake Data Integration Data Architecture SQL SQL Server SQL Databases GCP Big Query Dbt Cloud

Big Data Engineer

Loyalytics AI

Aug 2022 - Jul 2024 (1 year 11 months)

Designed and deployed Azure Cloud and Databricks architectures for GCC retail clients (Panda, Cenomi, GMG), improving data workflows and analytics deliverables for enterprise customers within 12 months.

Azure Databricks SQL Pyspark ETL Azure Data Factory Data Lake Cloud Architecture SQL Queries Unity Catalog Delta Lake Delta Live Tables Databricks Delta Sharing Key Vaults

ML Intern

Ineuron.ai

Mar 2022 - May 2022 (2 months)

Automated ETL pipelines and developed an end-to-end ML solution from ingestion to deployment, reducing data wrangling time by up to 40% and enabling streamlined model deployment on cloud platforms.

ETL Python Machine Learning Data Ingestion Pandas Automation data preprocessing