Rahul Agrawal

Background

About Rahul Agrawal

I am an Azure Data Engineer with strong expertise in Big Data, Cloud Data Platforms, and Advanced Data Processing. My professional journey spans designing and implementing end-to-end data pipelines, optimizing large-scale ETL processes, and building modern data solutions on the Azure ecosystem. Core Competencies Azure Data Services: Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage (ADLS), and Azure SQL Database for building scalable, secure, and high-performing solutions. Big Data Processing: Proficient in Apache Spark (PySpark), SparkSQL, DataFrames/Datasets, and performance tuning for large datasets. Data Warehousing & Modeling: Skilled in Snowflake, Hive, and Synapse, with strong SQL expertise to design efficient data models and optimize query performance. Data Ingestion & Integration: Expertise in Azure Data Factory, NiFi, and Sqoop to orchestrate seamless data movement from diverse sources into cloud and on-prem systems. Business Impact: Experienced in collaborating with stakeholders to translate business needs into data-driven solutions, ensuring data quality, governance, and scalability. A technology enthusiast and problem-solver, I thrive in designing, coding, and troubleshooting robust data engineering solutions. I am passionate about leveraging Azure Data Engineering to unlock insights, enable real-time analytics, and empower organizations with actionable intelligence.