Adam Nelson
@adamnelson1
Senior Data Engineer driving scalable cloud data platforms and governance.
United StatesWhat I'm looking for
I am a Senior Data Engineer with 11 years of experience building scalable data platforms across AWS, GCP, and Azure for biotechnology, consulting, fintech, and retail enterprises.
I design and implement modern ELT/ETL frameworks using Airflow, dbt, Spark, and Snowflake to deliver high-performance pipelines, streaming analytics, and ML-ready datasets.
I lead cloud transformation efforts, optimize compute and costs, and establish DataOps practices—reducing delivery timelines, manual intervention, and costs through automation and observability.
I mentor and lead distributed teams, champion data governance and compliance (HIPAA, GDPR), and drive adoption of CI/CD, testing, and metadata solutions to improve trust and discoverability.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Alnylam Pharmaceuticals
Nov 2024 - Present (1 year 3 months)
Spearheaded cloud-based data engineering for R&D, clinical, and supply chain analytics; architected ELT pipelines with Airflow, dbt, and Snowflake ingesting 40+ sources and reduced manual intervention by 60% while cutting Snowflake costs 30%.
Delivered cloud data platform modernizations on AWS/GCP, built reusable ingestion and transformation frameworks reducing project delivery timelines by 40% and improved query performance up to 70%.
STBuilt batch and streaming pipelines processing billions of transactions/day with Spark, Kafka, and EMR; enabled near-real-time fraud analytics reducing latency from 24 hours to under 10 minutes and cut maintenance overhead 50%.
TCDeveloped high-volume ETL jobs in Spark and Hive for retail analytics and optimized Redshift schemas to speed reporting queries by 50%, while automating near-real-time refresh workflows with Airflow.
Education
Degrees, certifications, and relevant coursework
UDUniversity of Texas – Dallas
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor of Science in Computer Science with coursework and projects focused on data engineering, distributed systems, and analytics.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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