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Dene Farrell
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github | linkedIn | resume
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Professional Summary
I lead organizations forward into modern technology solutions by
directly addressing the hard tradeoffs in the complex spaces of cloud
computing, distributed systems, data platforms, and enterprise
technology strategies. I am especially effective at distinguishing which
products and vendors are critical to the success of an organization. I
bring with me two decades of technical experience and ten years of
leadership roles. I have lead teams and products of varying sizes from
small to large. I have developed enterprise data and technology
strategies for organizations greater than 200 people.
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Experience
Defense Digital Service - Digital Service Expert
Washington DC, November 2020 - Present
- Lead a team of developers to transition from monolithic applications
to distributed computing. In collaboration with the team, we
successfully reeingineered a system design from an overloaded web
application into decoupled microservices that leverage severless
architecture solutions.
- Designed, developed and deployed a real-time streaming analytics
platform for ingestion of and machine learning on IoT data.
- Established a cloud-based data brokering service allowing for
integration of external data producers and data consumers across the
DoD.
- Supported the the Afgan Noncombatant Evacuation Operation rapid
response support in partnership between DDS and the State
Department. Contributed to larger team efforts by rapidly deploying
underlying cloud infrastructure for future application development
and deployment.
Latch - Senior Manager, Data Engineering
New York, Sept 2019 – Nov 2020
- Managed a team of five including three data engineers, a data
scientist, and a business analyst
- Delivered several cross-company services: Data Centralization and
Governance, Data Ecosystem Management with Automated Analytics,
Company Operational Notifications, CRM to ERP Integration, PII
Anonymization, ML Pipeline Development and Deployment Framework.
- Coordinated central data platform initiatives with diverse
stakeholders while constantly adapting to meet the day-to-day data
needs at Latch.
Capital One - Principal Data Engineer
New York, May 2017 – Sept 2019
- Lead Card-on-file Detections: Successfully deployed a classification
pipeline that identifies for all credit card holders which merchants
have stored their credentials on file. Lead a team of four to five
software engineers and data scientists of the course of this work.
- Developed a general purpose data visualization tool for handling
highly inter-related categorical variables at high volumes, high
state variability, low documentation and low stability. Leveraged
Spark and D3. Implemented on credit card transaction data.
- Re-architected a monolith ML application to microservices using AWS
serverless services.
- Implemented a comprehensive customer profile feature engineering
pipeline to service a multi-armed bandit call schedule
recommendation service with Python, Snowflake, and Kubernetes.
Insight Fellows Program - Data Engineering Fellow
New York, Jan. 2017 – Mar. 2017
- Deployed Fleetingly, a taxi fleet analysis application for scalable
sensing of geospatial patterns
- Implemented fleet performance analysis with live streaming and
historical pattern visualizations.
- Tech stack: Kafka, Spark Streaming, ElasticSearch, Kibana. [Python +
Scala]
Sloan Kettering Institute - Software Engineer
New York, Dec. 2008 – Jan. 2017
- Built image processing applications for understanding early
Drosophila embryo development.
- Made advanced computational tools accessible to non-technical users
with intuitive interfaces.
- Enhanced image processing capabilities in order to analyze
previously unobtainable 4D data.
- Co-authored several publications in premiere journals such as
Nature.
- Built applications with Matlab, Python, and Java
Education
2008
M.S., Systems Science; State University of New York, Binghamton
2006
B.S., Bioengineering; State University of New York, Binghamton
Side Projects
Gifthorse Inc - Founder and Developer
New York, June 2018 – Present
- Developed a fun and easy to use gift recommender service
- Django Web Backend, React Frontend, Scala Data Engineering and ML
Backend
- Services implemented: product parsing and updating, basic frontend
functionality, basic recommendation functionalities, authentication,
CICD Deployments
Skills
Programming Languages
Python: 10 Years experience.
Scala, Java: 3 years experience developing in Scala and Java.
Completed Courses from EPFL in Functional Programming and Software
Development with Scala.
JavaScript, Typescript, React: 2 years experience. I use JavaScript
and React in my side project, Gifthorse and leveraged typescript
most recently at DDS to contribute to web app products.
SQL: I have built several products that leverage RDS (Postgres),
Snowflake, Spark SQL and Teradata. Additionally I have build and
integrate with NOSQL systems such as MongoDB, Elasticsearch, and
DynamoDB.
Shell (Bash): e.g. dots
Basic knowledge:
C++, D3, Mathematica, Matlab, Perl
Data Engineering
AWS, Sagemaker, Kafka, Spark, EMR, DynamoDB, AWS Lambda, Flask,
Django, ElasticSearch, Airflow, Luigi, Ansible, Jenkins, CircleCI,
Snowflake, Docker, Kubernetes, System Architecture and System
Design, Looker, Terraform
Machine Learning
Classification, Regression, Data Wrangling, Feature Engineering,
Entity Resolution, Artificial Neural Networks, Unsupervised Learning
Algorithms, K-Means Clustering, PCA, Data Visualization
Team Management
Roadmap Planning, Jira, Agile, Scrum, Kanban, Stakeholder
Communication, Software Team Productivity Enhancements, Architecture
Decision Records, Software and Data System Documentation Strategies
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[email protected] • 914.602.3847 • New York
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pdf • txt • doc • web • generator • one-page • cv+publications