Shashank Lokesh

I’m a Data Engineer focused on building and optimizing data pipelines, models, and governance frameworks at enterprise scale. I’ve spent 4+ years delivering batch ETL and downstream-ready datasets across e-commerce, ed-tech, and consulting environments.

I design batch processing with PySpark, Spark, and Databricks—handling terabytes daily—and I build automated, monitored workflows using Airflow and Databricks pipeline patterns. I’ve consistently improved performance while keeping data reliable, well-modeled, and trusted by downstream teams.

My work also emphasizes cost and runtime optimization, including tuning BigQuery queries and Dataflow workloads to reduce processing time and operational cost. I build governance and quality frameworks with lineage, validation, security, and compliance so analytics and operational reporting can move faster with confidence.

I enjoy turning messy pipeline workflows into dependable systems—whether that’s orchestrating complex jobs with monitoring/alerting or deploying MLOps pipelines and internal automation for metadata management. I’m Databricks Certified Data Engineer Professional and a Google Professional Data Engineer.