WESTON CHASE
Staff Data Engineer (AI ML & Cloud Data Engineering)
Apr 2023 – Present
My goal is to build impactful data solutions
trusted clients
world wide
Python
Apache Spark
SQL
Databricks
AWS
Snowflake
Apache Kafka
Apache Airflow
dbt
Docker/Kubernetes
Terraform
MLflow
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Professional experience working with leading companies
in healthcare, ecommerce, and financial services
building scalable data solutions
Staff Data Engineer (AI ML & Cloud Data Engineering)
Apr 2023 – Present
Senior Data Analytics Engineer
Mar 2020 – Mar 2023
Healthcare Data Engineer
Jun 2017 – Feb 2020
ETL Developer (Financial Services)
Aug 2015 – May 2017
Design and implement scalable data platforms using Databricks, Snowflake, and modern cloud architectures on AWS, Azure, and GCP
Build MLOps pipelines with feature stores, model deployment, and LLM-powered RAG systems using LangChain for intelligent applications
Develop real-time streaming pipelines with Kafka and Spark processing millions of events with CDC capabilities for predictive analytics
Create robust ETL/ELT pipelines with dbt, Airflow orchestration, and data quality automation ensuring reliability and stakeholder trust
Design and implement scalable data platforms using Databricks, Snowflake, and modern cloud architectures on AWS, Azure, and GCP
Build MLOps pipelines with feature stores, model deployment, and LLM-powered RAG systems using LangChain for intelligent applications
Develop real-time streaming pipelines with Kafka and Spark processing millions of events with CDC capabilities for predictive analytics
Create robust ETL/ELT pipelines with dbt, Airflow orchestration, and data quality automation ensuring reliability and stakeholder trust
Design and implement scalable data platforms using Databricks, Snowflake, and modern cloud architectures on AWS, Azure, and GCP
Build MLOps pipelines with feature stores, model deployment, and LLM-powered RAG systems using LangChain for intelligent applications
Develop real-time streaming pipelines with Kafka and Spark processing millions of events with CDC capabilities for predictive analytics
Create robust ETL/ELT pipelines with dbt, Airflow orchestration, and data quality automation ensuring reliability and stakeholder trust
Design and implement scalable data platforms using Databricks, Snowflake, and modern cloud architectures on AWS, Azure, and GCP
45%
Infrastructure cost reduction through AWS optimization50+
Production ML models deployed and maintained40%
Fraud losses reduced through real-time detection100+
Daily ETL/ELT workflows managed with Airflow
Mark transformed our data infrastructure completely. His expertise in building scalable data pipelines and implementing MLOps best practices helped us reduce infrastructure costs by 45% while improving data quality. He's a true data engineering expert who delivers exceptional results consistently.
Working with Mark was transformative for our data team. He built our entire data lakehouse from scratch on Databricks, implemented real-time streaming pipelines, and deployed 50+ ML models to production. His technical depth and ability to architect complex systems is outstanding.
Mark's expertise in healthcare data systems is exceptional. He implemented HIPAA-compliant data governance with Unity Catalog, built ETL pipelines processing millions of records daily, and created real-time analytics dashboards. His work directly improved patient care outcomes through better data insights.
Mark Fahad
Written by
Mark Fahad
Written by
Mark Fahad
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