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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

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