adam N.
Senior Data Engineer
Open to offersNew to PlatformAbout
Adam N. is a highly experienced Senior Data Engineer with over 11 years of expertise in the design, development, and optimization of scalable data platforms across major cloud providers including AWS, GCP, and Azure. He has a proven track record in building modern ETL/ELT frameworks essential for data warehousing, streaming analytics, and data governance, serving global enterprises in industries such as biotechnology, consulting, fintech, and retail. Adam is proficient in leveraging Snowflake, Spark, dbt, and Airflow to create high-performance pipelines and deliver actionable business insights. During his tenure at Alnylam Pharmaceuticals, he spearheaded data engineering initiatives supporting analytics for R&D and supply chain functions, achieving substantial efficiencies through automated orchestration and resource optimization. At Deloitte, Adam modernized data platforms for Fortune 500 clients, reducing delivery timelines significantly and enhancing data strategy and governance. His earlier work at Stripe and Target Corporation involved developing and optimizing data systems for transaction processing and retail analytics, respectively, enhancing operational efficiency and data reliability.
Experience
Senior Data Engineer
Alnylam Pharmaceuticals, Inc. · 2024 — PresentLeading cloud-based data engineering initiatives related to R&D, clinical, and supply chain analytics utilizing AWS and Snowflake. Developed end-to-end ELT pipelines through Airflow, dbt, and Snowflake, facilitating data ingestion from over 40 disparate sources. Created standardized data models for clinical data to ensure compliance with HIPAA and GxP while implementing automated pipeline orchestration in Airflow to minimize manual interventions. Collaborated with analytics and data science teams for ML-ready feature datasets and established data quality metrics using Great Expectations and CloudWatch.Senior Data Engineer
Deloitte Consulting LLP · 2021 — 2024Executed data platform modernization for Fortune 500 clients by transitioning on-prem ETL workloads to cloud-native architectures on AWS and GCP. Engineered reusable frameworks for data ingestion and transformation with Glue, Kafka, dbt, and Airflow to accelerate project delivery. Developed real-time event streaming solutions using Kafka and Spark tailored for transaction monitoring. Optimized data models in Snowflake, ensuring cost efficiency and column-level security, while implementing CI/CD for automated workflows with GitLab, Terraform, and Jenkins.Data Engineer
Stripe, Inc. · 2016 — 2020Constructed and maintained scalable batch and streaming data pipelines handling billions of transactions using Spark, Kafka, and AWS EMR. Designed star-schema data models in Snowflake and Redshift tailored for product analytics and fraud prevention. Transitioned legacy ETL jobs to modular ELT pipelines with dbt and Airflow, achieving a reduction in maintenance overhead. Automated data quality checks and monitoring, which improved dashboard reliability and supported compliance with GDPR retention policies.Data Engineer
Target Corporation · 2014 — 2016Facilitated large-scale retail analytics across merchandising, marketing, and customer behavior sectors. Created high-volume ETL processes in Spark and Hive on AWS and Hadoop platforms. Enhanced reporting query performance in Redshift through schema optimizations and automated data refresh workflows using Airflow. Worked alongside BI developers to construct Tableau dashboards for improved performance visibility and supported data warehouse migration from Teradata to AWS Redshift.
Skills & Expertise
Education
- Bachelor of ScienceUniversity of Texas – Dallas · 2010 — 2014
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