I am an experienced engineer and leader with a proven record of leading and
delivering impactful projects. I have strong leadership skills demonstrated
through successful coordination and implementation of critical projects across
multiple teams. I have a history of driving cost savings, efficiency
improvements, and successful team scaling while maintaining high standards in
personnel recruitment, growth, and hiring.
Led, designed, and helped implement DataPrepper, Observability, and
OpenSearch Ingestion for AWS OpenSearch with multiple teams. I managed all
technical aspects of the project and helped coordinate messaging,
deliverables, and timelines across the teams externally and internally.
Partnered with organizations across Amazon to size their OpenSearch clusters
for performance, scale, and cost.
Worked with AWS Glue to launch AWS GLUE Elastic Views. Drove data type
compatibility and data and control flow design with Distinguished Engineers and
multiple AWS teams.
Led technical direction and development for six projects, Amazon Insights
into Manufacturing (AIM) in the Industrial Internet of Things (IIOT) space to
gain insights into Amazon’s fulfillment processes leading to improved
efficiency and cost savings.
AWS TimeStream based on architecture and designs of AIM
Interacted with multiple internal Amazon Fulfillment teams to on-board and
integrate them with our IIOT platform to simplify their systems and reduce
their OE load. Saved Amazon over $100 million / year across all Fulfillment
Centers
Drove adoption of ISA95 standard for machine and software interoperability
allowing for savings of $50 million / year.
Worked with Amazon management to create new projects and hire teams that grew
the organization from two teams (~12 people) to six teams (~60 people), with
each team solving customer problems.
Created multiple proof-of-concepts that turned into full products and reports
providing insight into the Amazon Fulfillment process improving overall
performance and reducing costs by $30 million / year.
Migrated a Tier1 service from Oracle to DynamoDB in a month while improving
response time on calls from 10ms to 1ms or less and improving uptime,
stability, and maintainability (Code base size was reduced by over 50%).
Bar Raiser
Rapid7 - Principal Portfolio Architect in the Office of the CTO#
Created a MapReduce deduplication routine for a cloud system running a
modified CDH installation
Architected and created an analytic pipeline using MapReduce and Hadoop for
graph analytics for big data
Designed, implemented, and performance tuned an ingest pipeline for cloud
systems
Researched, designed, and implemented proof-of-concept near-realtime
deduplication services using sub-graph matching on both NoSQL and relational
database systems
Simplified projects through refactoring and applying SOLID design principles
Refactored a large project’s system to support SSL security throughout all
communication channels
Designed federated data access layer to allow seamless querying and access to
disparate data stores
Read and analyzed research papers for big data analytics and dispersed
information to various teams with brown bag lunch presentations
Implemented and tested Dynamic Frequent Line Cache using SimpleScalar
Developed software for configuration and monitoring of an FPGA-based
intrusion detection system
Built, installed, tested and developed simple testing code for a five-node
parallel graphics cluster using Chromium and Linux to study experimental
graphic speed-up techniques