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James Campbell DevOps Engineer | Python Dev | Blockchain DevJC

James Campbell

DevOps Engineer | Python Dev | Blockchain Dev
  • Suggested rate
    €550 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept James's quote.
Location and workplace preferences
Location
Amsterdam, Netherlands
Remote only
Primarily works remotely
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Skill set (41)
James in a few words
I am an innovative Python Developer and DevOps Engineer with recent experience in the configuration, deployment, and monitoring of trading systems, and in troubleshooting live production issues.
Committed to achieving ever changing business requirements, and both structure and efficiency enhancements, my determination and analytical skills have seen me manage, automate, and modernise systems and processes.
With a strong background in data science, I am experienced conducting research and leading deep investigations to identify patterns in trading behaviour.
Having supported cross-functional teams, I possess impressive communication skills and a focus on distilling complex topics into concise, digestible reports to facilitate learning.
Lastly, I am passionate about blockchain technologies and crypto-currencies, so whether you share my passion or are simply interested in knowing more about my recent accomplishments, please feel free to connect.
Experience
  • Hillside Campbell
    Senior Dev Ops and Python Consultant
    June 2021 - Today (3 years and 11 months)
    Remote
  • Quantlab Group
    Dev Ops Engineer / Trader
    January 2019 - January 2022 (3 years)
    Amsterdam Area, Netherlands
    As a DevOps Engineer, I currently monitor, configure, and deploy trading systems across the EMEA to ensure maximum uptime. This requires me to ensure that all servers are connected, that all software deployments and server configuration has been completed without any issues, and that all systems are monitored to ensure that all applications run correctly. I also monitor trading performance using various tools such as Python, manage risk, highlight recurring issues, and introduce solutions. Within my second capacity as a trader, I oversee algorithmic-based trading systems in real time, ensure that trading is MIFID compliant, and design, implement and optimise quantitative trading strategies. Skilled in data analysis, I currently analyse latency statistics to calculate the areas in which competitors performing better, and devise subsequent solutions to remain ahead of the competition. With notable research skills, I also steer in-depth investigations into various matters pertaining to trading.
  • Admiral Group Plc
    Pricing Analyst
    September 2015 - July 2016 (10 months)
    Prior to my current role as a DevOps Engineer, I obtained a prestigious industrial placement at one of the UK’s largest Insurance companies and sat within the Pricing Department where I analysed claims statistics and made decisions concerning the underlying pricing structure which generated customer quotes.
Recommendations
Education
  • Doctor of Philosophy - PhD
    Cardiff University / Prifysgol Caerdydd
    2019
  • BSc
    Cardiff University / Prifysgol Caerdydd
    2017