NATALIE CASEY
ENGINEERING MANAGER
Boulder,CO
Summary
Software Engineering Manager with total 10 years of experience, including 8 years of development experience with programming languages (Python, Scala, Kotlin, TypeScript, SQL and R) and 5 years of experience in technical leadership roles, with 3.5 years in people management.
7 years at FAANG, working in complex, matrixed organizations, with proven technical expertise in leading strategic projects, driving technical vision, and overseeing deployment of large-scale projects solving complex computer science problems.
Expertise (7+ years) in distributed systems and cloud computing (AWS, with GCP equivalents), large-scale system design, and AI-driven solutions. Strong track record in optimizing software performance, developing scalable cloud architecture, and ensuring engineering excellence through best practices.
People-focused leadership expertise, skilled in managing cross-functional software development teams, communicating clear priorities aligned to the broader organization's goals, and coachingand mentoring individuals. Adept at balancing technical execution, strategic planning, and product innovation to drive high-impact results.
Overview
10
10
years of professional experience
14
14
years of post-secondary education
Work History
Software Engineering Manager III
Amazon
10.2018 - Current
- Hired and manage a team of 15 software engineers and data engineers across four locations, building distributed systems and large-scale cloud infrastructure to process 5 PB of data daily, optimizing real-time analytics and attribution models for 1.2 million Amazon Ads customers.
- Managed performance and career growth for 15 individuals through weekly 1:1s and quarterly career reviews, providing feedback, performance and career coaching, and setting clear expectations based on level and role.
- Reduced operational costs by 11% ($3.5M savings annually) and improved system reliability to 99.99% uptime by leading a major cloud infrastructure re-architecture and performance optimizations.
- Drove large-scale code refactor to streamline codebase; eliminated 20,000+ lines of legacy code, reduced delivery timelines by 10 developer weeks, improved code maintainability, and accelerated feature delivery by 30%.
- Led 180+ system design reviews and 2,000 code reviews (CLs) across 15 data & software engineers and 20 code repositories, providing feedback to ensure best practices in style guidelines, code check ins, accuracy, scalability, maintainability, testability, and efficiency.
- Defined and executed the long-term technical vision (3-year) & mid-term roadmap for my 2 teams, aligning product strategy to organizational goals; led OKRs, Agile sprint planning, roadmap prioritization & reviews, annual goal setting, postmortems & retrospectives, and technical design document reviews.
- Oversaw deployment of 25 large-scale projects, influencing +$15M in Amazon Advertising revenue (DSI).
- Improved issue detection by 88% through design and launch of automated data quality monitoring and anomaly detection service.
Senior Data Engineer
Amazon Web Services
10.2018 - 11.2021
- Authored 120 Code Changes (CLs) across 5 code repositories and authored 20+ system designs, architecture designs, and tech solution docs.
- Designed and implemented ETL pipelines to extract data from REST APIs into event-driven data processing application, providing serverless, cloud-based data modeling for high velocity, low-latency, real-time analytics of 200GB of data instantly, enabling automated valuation of over 2000 global renewable energy deals (clean energy wind and solar projects using regional geo data and energy price forecasts).
- Designed and implemented automated Infrastructure as Code (IaC) solution for AWS Marginal Cost Model, optimizing over $300M in free cash flow (FCF) and improving unit capacity forecasting for foundational AWS services (EC2, S3, EBS, DDB, AWSP, Glacier).
- Senior Engineer Technical Lead (technical leadership role) of AWS FinTech team, overseeing 5 strategic projects and providing feedback to ensure best practices on over 200 code reviews (reviews of code developed by other engineers), architecture reviews, and design reviews to ensure best practices in style guidelines, code check ins, accuracy, scalability, maintainability, testability, and efficiency.
- Developed and deployed COVID-19 automated supply & demand planning solution for C-suite and SVP Executives during COVID19; designed and implemented automated data pipelines and real-time data visualizations using Real Estate & Property Geospatial Data to deliver key organizational insights for workplace capacity forecasting of over 1 million employees and 350 buildings. Resulted in 3,000 hours annual time savings (3+ full time employees).
- Led the architecture and engineering development of a global Data Lake, servicing AMER, APAC, Japan, and EMEA regions, authoring 200+ automated Python and Spark ETL workflows for processing data from 12 disparate sources. Enabled efficient regional data segmentation for machine learning models, business intelligence, and geo-based analytics.
- Automated dataset extraction and processing workflows, reducing data pipeline latency from 16 hours to 2 hours.
- Deployed and managed Tableau Server for 2,000 members of AWS worldwide Solutions Architecture teams.
Senior Engineering Consultant & Team Lead
Hitachi Consulting
07.2015 - 10.2018
- Developed and delivered strategic data insights, leveraging advanced analytics and visualization to drive decision-making across Digital Marketing, Product Intelligence, Finance, Operations, and Sales teams.
- Collaborated with Solutions Architects to design and optimize ETL workflows, enabling the efficient ingestion and transformation of large, complex datasets in a cloud-based data lake.
- Developed scalable data processing pipelinesusing Cloudera Hadoop, HDFS, Pentaho, and Spark, optimizing query performance and improving data processing speeds by 2x.
- Designed and optimized high-performance SQL queries (Teradata, Impala, Hive) to extract, transform, and analyze large-scale datasets, providing data-driven recommendations for 15 customer teams and key business units.
- Developed and automated 25+ Tableau dashboards and reporting pipelines, enabling real-time analytics and an intuitive product experience for launch of Xfinity Mobile (a Fortune 100 telecommunications product).
- Streamlined executive reporting by consolidating 10+ reports across 20 disparate data sources, creating a single-source-of-truth dashboard, reducing reporting time and improving strategic visibility.
- Led data modeling and architecture design for self-service reporting, increasing data federation and accessibility.
Education
Bachelor of Science - Statistics & Business Analytics
University of Denver
Denver, Colorado 05.2001 - 01.2015
Skills
Python, Scala, Kotlin, TypeScript
Spark, SQL, R
Unix/Linux Systems (Red Hat RHEL, Ubuntu)
Shell Scripting (Zsh, Bash, CLI)
Object-Oriented Programming (OOP) & Functional Programming
CI/CD
Technical Leadership & Cross-Functional Collaboration
OKRs & Data-Driven Decision Making
Agile Methodologies
Distributed Computing Systems & Cloud Architecture Design
Cloud Compute Engines (AWS Lambda Serverless Compute, AWS EC2)
Cloud Storage (AWS s3)
Databases: Relational Databases (AWS RDS, Google CloudSQL), Columnar-based data warehouses (Amazon Redshift, Snowflake, Google BigQuery), NoSQL Databases (AWS DynamoDB)
State Machines, Serverless workflow orchestration (AWS Step Functions, AWS Fargate)
Infrastructure as Code (IaC) (AWS CloudFormation, CDK, SDK)
Kubernetes Containers (ECS), Elastic Kubernetes Service (EKS), Batch Jobs
Distributed Batch & Streaming Data Processing (Apache Spark, Kinesis, Data Firehose)
Elastic Compute Engines (AWS EC2), Auto-Scaling
Networking & Security, Virtual Private Cloud (AWS VPC)
REST APIs, Microservices
Big Data & Data Lake Frameworks (Hadoop, Spark, AWS Lake Formation)
Elastic MapReduce (EMR)
Data Pipelines and ETL/ELT Processing (Apache Airflow, AWS Glue, AWS Data Pipelines)
Serverless Query Engine (Athena)
Cloud Monitoring (AWS CloudWatch)
Cold Storage & Archiving (AWS Glacier)
In-Memory Caching (ElastiCache)
Event-Driven Applications with pub/sub messaging (Amazon Event Bridge, SNS, SQS)
Identity & Access Management (IAM)
Business Intelligence (BI) and Data Visualization (AWS QuickSight, Tableau)
Artificial Intelligence - AI/ML (AWS SageMaker, Amazon Forecast for Time-Series Forecasting)
Statistical Modeling & Advanced Analytics
Natural Language Processing (NLP)
Data Preparation (AWS Glue DataBrew)
Timeline
Software Engineering Manager III
Amazon
10.2018 - Current
Senior Data Engineer
Amazon Web Services
10.2018 - 11.2021
Senior Engineering Consultant & Team Lead
Hitachi Consulting
07.2015 - 10.2018
Bachelor of Science - Statistics & Business Analytics
University of Denver
05.2001 - 01.2015