Abhijeet Acharya

I’m a Senior Lead Engineer with 4.5 years of experience designing and delivering scalable data engineering solutions. I focus on high-performance ETL pipelines and Lakehouse architectures that support large-scale workloads.

I’ve consistently improved processing efficiency by up to 70% by optimizing cost and reliability. Across AWS, Snowflake, and Azure Data Factory, I build ingestion and transformation frameworks that process millions of records daily with scalability, performance, and observability.

I take ownership of end-to-end data architecture—data modeling, orchestration, governance, and deployment. I implement secure access controls using AWS IAM and Snowflake RBAC, and drive CI/CD to improve release efficiency while enabling analytics-ready datasets.

I also bring strong platform and governance depth through tools like Databricks (PySpark, Delta Lake, Unity Catalog, Delta Live Tables), Microsoft Fabric, and enterprise governance practices. I collaborate with stakeholders, mentor engineering teams, and deliver solutions aligned with business objectives.