Senior AI & Data Engineer | 8+ Years Experience | Databricks Certified Professional
Actively Looking for Work
Senior Data Engineer with 8+ years of enterprise experience designing, building, and scaling high-performance data platforms. Backed by an M.Sc. in Data Science & Analytics and a Databricks Certified Data Engineer Professional credential, I am looking to leverage my deep technical core to transition into leadership-level positions like Tech Lead, Data Architect, or Engineering Manager.
Throughout my career—delivering high-impact data engineering solutions at Apple and Amgen—I have mastered the art of building resilient architectures natively within the AWS ecosystem. I specialize in designing modern lakehouse strategies from the ground up, utilizing Databricks Unity Catalog to enforce robust enterprise data governance, fine-grained access control, and data lineage. My day-to-day engineering relies on a modern data stack centered around Databricks, Snowflake, dbt, and Astronomer (Apache Airflow) alongside core AWS services like Glue, S3, and Redshift for seamless ingestion, transformation, and automated orchestration.
Core Architecture Stack: Databricks Unity Catalog, AWS (Glue, S3, Redshift), Delta Lake, PySpark, Python, SQL, Snowflake, dbt, Astronomer (Apache Airflow), DataStage.
Key Strengths: Lakehouse Platform Governance, Data Lineage & Access Control, AWS Data Pipelines, Data Modeling, Informal Team Mentorship, Compliance.