Senior Python Engineer Resume
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Sf Bay, AreA
SUMMARY:
With 16 years + of experience, I’m a Python software engineer that writes software in Python. I also have extensive experience in open source development, and a subject matter expert in big data engineering, full text search and distributed systems. I’ve worked with clients in arrange of industries, including trading & finance, medical devices, health care, digital advertising and academia. I’ve been a featured speaker at the conferences of Google, Mozilla and Pycon.
SKILLS:
- Python: testing, optimization, debugging, Python 3 transition, Cython
- Big data: PySpark, Spark, Hadoop, Kafka, Pandas
- Full text search: Elasticsearch, Solr
- SQL & NoSQL: Reddis, MongoDB, Cassandra, PostgreSQL, MySQL
- Machine learning: scikit - learn, OpenCV, TensorFlow, Keras - Devops: AWS, Docker, Linux, bash
- Web frameworks: Django, Flask, Celery, Nginx, REST, GraphQL
- Confidential Web Services (AWS)
- Test Kitchen-driven Chef Cookbook Development
- Berkshelf Chef Cookbook Dependency Management
- Zookeeper / Mesos / Marathon Clustered Infrastructure
- Docker
- Graphite / Grafana
- Riemann collectd statsd
- SNMP
- HAProxy
- Nginx
- Apache
EXPERIENCE:
Confidential, SF / Bay Area
Senior Python Engineer
Responsibilities:
- Senior software engineer and subject matter expert focusing on Python, big data, Django and full text search.
- Developed and maintained websites in Django; helped startups build prototypes; built web crawlers & data ingest pipelines, etc..
- Formulate workflow and versioncontrol to the mid-scale technical team
- Use docker-compose to simplify team develop process, and training juniorengineer docker and maintain docker swarm service
- Introduce kubernetes and implement on GCP, automation deploy process withtelegram, Bitbucket and webhook.
- Payment gateway API and Django web services
Confidential, SF / Bay Area
Senior MTS Engineer
Responsibilities:
- Responsible for analyzing acquisition programs and recommending DevOps best practices, in addition to designing and implementing prototypes of software, data analysis tools, and Instructure as Code installations.
- Designed and implemented an IoT provisioning and Docker build system using Ubuntu, Python, and SaltStack.
- Instrumental in updating C++ code to add features and integrate applications into an existing software orchestration, using standard GNU build tools and Chef to automate software builds.
- Created web service using Flask and SQLAlchemy to provide a RESTful interface to the Confidential package manager on RHEL/CentOS.
- Used the Pandas data analysis library for data analysis, aggregation, and graphing.
Confidential, San Diego, CA
Junior Dev/OPS Python Engineer
Responsibilities:
- Automated deployment of applications using Terraform, Python, Fabric and Docker
- Overhauled the manually maintained monitoring system from Nagios XI to Datadog.
- Wrote services-scaler, a Python microservice designed to control the size of auto scaling workers