Aashish Mahajan

I’m a results-driven Data Engineer with 4+ years of experience designing and deploying large-scale data infrastructure, ETL pipelines, and cloud-native data solutions. I’m Databricks and cloud-certified (Databricks, AWS Solutions Architect, and Snowflake) and I focus on turning complex data challenges into actionable, business-driven outcomes.

At Tata Consultancy Services (TCS), I designed end-to-end ETL pipelines using Apache Spark/PySpark on Databricks, reducing data processing time by 40% across large-scale enterprise workloads. I architected Snowflake data warehouse solutions (schema design, clustering keys, materialized views, and query tuning), boosting query performance by 35% and cutting warehouse costs by 25%.

I also built AWS cloud data infrastructure (S3, Glue, Lambda, Redshift, and Athena) and implemented a multi-layer Bronze/Silver/Gold data lake to enable self-serve analytics. I’ve automated data quality frameworks in Python/SQL to reduce pipeline errors by 30%, optimized Airflow DAGs to reach 99.5% pipeline uptime, and used Snowflake Cortex for AI-powered enrichment while enforcing AWS IAM/CloudWatch security controls for compliance in regulated financial-services environments.