Liana Shafiq
@lianashafiq
Staff Data Engineer architecting multi-cloud lakehouse and streaming platforms for enterprise healthcare analytics and AI workloads.
What I'm looking for
I’ve been architecting and delivering enterprise-scale cloud data platforms at PocketHealth, spanning AWS, Azure, and GCP for healthcare analytics, operational reporting, and AI/ML workloads.
At PocketHealth, I designed modern healthcare lakehouse architectures in Databricks with Delta Lake and Bronze/Silver/Gold layers, then built scalable ETL/ELT pipelines with Python, SQL, PySpark, Spark SQL, Airflow, dbt, and cloud-native services.
I’ve also engineered real-time and near real-time streaming using Kafka, Kafka Connect, Debezium, Spark Structured Streaming, Google Pub/Sub, AWS Kinesis, and Azure Event Hubs—then paired it with warehouse solutions across Snowflake, BigQuery, Amazon Redshift, and Azure Synapse.
Across the stack, I focused on governance, quality, and reliability with Unity Catalog, Great Expectations, Apache Atlas, and Microsoft Purview, plus secure, HIPAA-compliant data controls. I’ve led architecture reviews, mentored engineers, and automated infrastructure with Terraform, Docker, Kubernetes, and CI/CD pipelines.
Experience
Work history, roles, and key accomplishments
Staff Data Engineer
PocketHealth
Nov 2022 - Present (3 years 9 months)
Architected enterprise-scale cloud data platforms across AWS, Azure, and GCP for healthcare analytics, AI/ML workloads, and operational reporting.
Senior Data Engineer
Vention
Oct 2017 - Aug 2022 (4 years 10 months)
Designed scalable cloud data platforms using AWS, Snowflake, Databricks, and Apache Spark for enterprise analytics and business intelligence.
Data Engineer
Trust Science
Jun 2015 - Aug 2017 (2 years 2 months)
Developed scalable ETL pipelines and optimized SQL queries to support enterprise data warehousing and business intelligence.
Education
Degrees, certifications, and relevant coursework
University of Management and Technology
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from UMT.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
Interested in hiring Liana?
You can contact Liana and 90k+ other talented remote workers on Himalayas.
Message LianaGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
