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Deependra Woli

@deependrawoli

Message

Data Engineer at Mayo Clinic building healthcare data platforms processing over 5TB of data daily.

United States

Message

At Mayo Clinic, I design PySpark and Databricks pipelines processing over 5TB of healthcare data daily. I also build real-time ingestion workflows and organize data into bronze, silver, and gold layers.

Previously, I built cloud and streaming data pipelines at State Street and PayPal, supporting analytics, fraud detection, and transaction monitoring. My work has included modernizing legacy ETL workflows, deploying machine learning pipelines, and applying security controls for regulated data.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Mayo Clinic

Sep 2023 - Present (3 years 1 month)

Designed scalable ETL pipelines using PySpark and Databricks, processing over 5TB of healthcare data daily. Engineered real-time data ingestion pipelines and automated infrastructure deployment, reducing manual provisioning effort by 70%.

Data Engineer

State Street

Jul 2021 - Aug 2023 (2 years 1 month)

Designed scalable ETL pipelines using Azure Data Factory, Matillion, and Apache Airflow, automating ingestion from RDBMS and APIs into Azure Data Lake and GCP BigQuery. Migrated on-prem workloads to cloud-native stores, reducing infrastructure costs by 40%.

Data Engineer

PayPal

Feb 2020 - Jun 2021 (1 year 4 months)

Created DevSecOps pipelines using GitLab, Jenkins, and Terraform, enforcing code quality checks and ensuring repeatable infrastructure deployment. Built real-time, event-driven data pipelines processing billions of transactions daily using Apache Kafka, Spark Streaming, and Apache Flink.