Samuel Lewis
@samuellewis
Senior Data Engineer specializing in scalable cloud-native data pipelines, warehouses, and ML-enabled analytics.
What I'm looking for
I am a results-driven Senior Data Engineer with over 10 years of experience designing and implementing scalable data solutions across enterprise environments. I build robust ETL/ELT pipelines, cloud-native data warehouses and lakes, and production-ready data architectures that enable analytics and machine learning.
I have deep hands-on experience with Python, SQL, PySpark, Snowpark, Databricks, Snowflake, Apache Airflow, and cloud platforms including AWS, Azure, and GCP. I partner with cross-functional teams to deliver business-critical data products, automate workflows with Terraform and CI/CD, and enforce secure, governed data practices.
I have a track record of delivering high-performance data platforms, operationalizing ML models, and creating reusable data frameworks that empower data-driven decision-making across global organizations.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
WorldPay
Nov 2022 - Present (2 years 10 months)
Designed and maintained scalable ETL pipelines and data architectures in Snowflake and Databricks, improving data reliability and enabling enterprise analytics while enforcing secure, compliant data handling.
Built and optimized scalable data pipelines and APIs for People Analytics, integrating Snowflake and Salesforce Data Cloud to enable predictive analytics and governed enterprise reporting.
Data Engineer
NiSource
Feb 2014 - Jun 2020 (6 years 4 months)
Led enterprise data engineering efforts to design and deploy data warehouses and lakes across cloud platforms, delivering scalable pipelines and automation that supported analytics and data science workflows.
Education
Degrees, certifications, and relevant coursework
Texas State University
Bachelor of Science, Computer Science
2009 - 2013
Completed a Bachelor in Computer Science with coursework covering core computer science principles and software development practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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