Mahadev Easwar

I am a Senior Data Engineer with six years of experience building scalable, cost-effective cloud-native data platforms and ELT pipelines. I specialize in AWS, Azure, Snowflake, dbt, and orchestration tools like Airflow, Prefect to enable reliable analytics.

As a founding data engineer at Aspire, I led the end-to-end design and rollout of a modern data stack, integrated 20 data sources via Airbyte, implemented a dbt-based Medallion architecture, and delivered a 40% AWS cost saving by redesigning data architecture.

At Accern AI and Tata Communications, I engineered high-throughput ingestion and transformation pipelines (2TB/day), improved pipeline performance by 25% using Polars and multi-threading, and built Prefect workflows and ETL processes that reduced failures and optimized execution.

I mentor junior engineers to deliver production-grade pipelines, drive CI/CD and data transformation practices, and focus on performance tuning, data modeling, and enabling self-serve analytics to accelerate business decisions.