Data Engineer with 4+ years of experience building pipelines that actually work in production, not just in demos. At PS, I am handling Provider analytics data for a leading healthcare insurance firm. Using Databricks and Python to ingest and clean data. I've engineered ETL/ELT pipelines processing multi-terabyte datasets daily, cut pipeline runtimes by 90% using Python multiprocessing, built GDPR-compliant data solutions in BigQuery, and automated KPI reporting across Twitter, Facebook, TikTok, and Snapchat. The common thread: turning messy, slow, or broken data flows into something reliable and useful. What I work with: Python · SQL · dbt · Dagster · Airflow · Snowflake · BigQuery · Azure Synapse · GCP · DatabricksCertified: 🏅 Microsoft Fabric Data Engineer Associate (DP-700) 🏅 Databricks Certified Associate Data Engineer 🏅 Microsoft Azure Architecture Solution(AZ-305) What drives me is the unglamorous side of data , the 90% that makes the 10% of insights possible. Faster pipelines, cleaner models, systems that don't break at 2 AM.