Ashutosh Jasrotia

I’m a Data Engineer with 6+ years of experience building scalable ETL pipelines, data warehouses, and big data solutions using Python, PySpark, SQL, AWS, and Hadoop/Spark technologies.

In my current role as a Senior Data Engineer, I’ve built Python and PySpark ETL pipelines processing 50+ TB/day with 99.9% uptime, using Spark and AWS services. I’ve developed data ingestion frameworks on Databricks and AWS for structured and semi-structured data, and optimized SQL workloads and dimensional models improving query performance by 45%.

I also focus on reliable, analytics-ready platforms—implementing PostgreSQL and Redshift integrations for reporting and analytics. I’ve delivered secure, high-performance data platforms that support analytics and reporting workloads.

I’ve worked across AWS Glue/Spark migrations and regulated environments, designing star schema models and building enterprise reporting data warehouses. I bring strong engineering practices with Agile SDLC, JIRA-driven sprint planning, and CI/CD workflows (Git, Jenkins, automated testing, and release support).