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Aditya Nikam

@adityanikam

Azure Data Engineer at Axelbuzz Tech Solutions who delivered Azure Data Factory and Databricks pipelines processing 2M+ records daily.

India

Message

At Axelbuzz Tech Solutions, I designed and delivered end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks (PySpark) on a Medallion Architecture. They processed 2M+ records daily across concurrent client projects, including a banking data warehouse and an e-commerce analytics platform.

I optimized Delta Lake tables with partitioning redesign, OPTIMIZE/ZORDER, and DataFrame caching, reducing average Gold-layer query times by 18.

I built a Bronze-layer ingestion framework with exception handling, retry policies, centralized logging, and ADF alerts to reduce pipeline failures. I also delivered Silver and Gold tables to Azure SQL Database, powering 3+ Power BI dashboards for the Analytics team.

My work focuses on production ETL/ELT pipelines and cloud-native data platforms on Microsoft Azure. I hold the Microsoft Certified: Azure Data Engineer Associate (DP-203) certification and a Python Certification.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Axelbuzz Tech Solutions

Jan 2022 - Present (4 years 9 months)

Designed and delivered end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks (PySpark) on Medallion Architecture, processing 2M+ records daily. Optimized Delta Lake tables and built a Bronze-layer ingestion framework with exception handling and monitoring.