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Nikhilesh User

@nikhilesh

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Data Engineer with 3 years building scalable Azure ETL pipelines using Python, PySpark, SQL, and Databricks.

India

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What I'm looking for

I’m looking for a data engineering role where I can design and optimize Azure-based ETL and analytics pipelines (ADF/Synapse/Databricks), collaborate with stakeholders, and own reliable data ingestion, quality, and CI/CD automation.

I’m a data engineering professional with 3 years of IT experience, specializing in designing scalable data solutions across on-premises and Azure cloud environments. I focus on building reliable data processing pipelines and analytics-ready datasets using Python, PySpark, SQL, and big data technologies like Hadoop and Hive.

At Signovate Technologies (June 2023 – Present), I’ve developed and implemented robust ETL workflows using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks—supporting healthcare use cases like RXHealthBridge. I also migrate on-premises data to ADLS Gen 2 with efficient pipeline design, strengthen data integrity through exception handling, and ensure quality via unit tests. Beyond engineering the pipelines, I collaborate with stakeholders on requirements and implement CI/CD automation using GitHub and Jenkins to streamline deployments across environments.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Signovate Technologies

Jun 2023 - Present (3 years)

Developed and implemented robust ETL workflows using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to deliver pharmaceutical data solutions. Migrated on-premises data to ADLS Gen2 with Spark-based pipelines, implemented exception handling and unit tests, and enabled CI/CD-driven deployments via GitHub and Jenkins.

Python Pyspark SQL Azure Data Factory Azure Synapse Azure Databricks Azure SQL Database Hive