Abhimanyu Athukuri

I’m an Experienced Data Engineer with 5+ years of experience designing, developing, and optimizing scalable ETL/ELT pipelines and cloud-based data platforms. I focus on building high-performance enterprise data warehouse solutions with strong emphasis on data integrity, scalability, and reliability.

My core expertise is Azure Data Factory, Azure Databricks, PySpark, SQL, and Snowflake, along with familiarity with Microsoft Fabric concepts, Lakehouse architecture, and notebook-based development workflows. I’ve worked across data ingestion for structured and unstructured datasets, data migration, data validation, and SCD Type 1 & Type 2 implementations.

In recent roles, I designed and developed ETL/ELT pipelines using Azure Data Factory and Azure Databricks, built PySpark transformation workflows, and orchestrated production-grade pipelines with Apache Airflow DAGs. I also integrated data from multiple enterprise systems into Snowflake and Azure-based cloud platforms, optimized SQL/ETL performance, and implemented data quality checks to improve reconciliation and trust in results.

I’ve supported production operations through troubleshooting and root cause analysis, and I’ve contributed to deployment automation using CI/CD with Git and Azure DevOps. I enjoy collaborating with business, QA, and analytics teams to deliver scalable data solutions end-to-end.