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Aniruddha Sengupta Data EngineerAS

Aniruddha Sengupta

Data Engineer
  • Suggested rate
    €294 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Aniruddha's quote.
Location and workplace preferences
Location
Cambridge District, United Kingdom
Remote only
Primarily works remotely
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Skill set (8)
Aniruddha in a few words
A data engineer with experience with Python, Pandas, AWS, GCP and Azure, I have produced a variety of automated pipelines using a number of tools as well as undertaking exciting custom client projects.

I am a highly technical individual and enjoy programming both as a hobby and as a role. My roles in the past have helped me to elevate my Python, Bash and SQL skills to a new level as well as create time-saving methods and develop new and exciting software.
Experience
  • Speechmatics®
    Data Engineer
    November 2021 - Today (3 years and 6 months)
    Cambridge, UK
  • OMD EMEA
    Data Engineer
    January 2021 - November 2021 (10 months)
    London, UK
    My role involved the creation of automated, cloud-based data pipelines and helping develop custom client software and dashboards. I also leveraged the use of a number of APIs (Google, Facebook, Twitter) to help automate a variety of processes and improve the efficiency within my team and the wider company. Some of my notable achievements were to help create a custom logic-parser in Plotly Dash which was able to create single and complex audience queries using logic gates. I also used GCP cloud functions to make a previous, highly manual process entirely automated and streamlined.
  • Gain Theory
    Analyst
    June 2019 - January 2021 (1 year and 7 months)
    London, UK
    My job involves working with data, including its extraction, manipulation, analysis and validation to understand the market place and client context relevance to each project. All datasets provided per project is analyzed this way, with each KPI understood and explained back to the team. Proficiency in the extraction of data is important here along with familiarity with data extraction tools (Athena, Google Trends, Google Analytics, DoubleClick), often using APIs for efficient extraction. I am also proficient in a variety of tools which helps me to analyse the data and gain meaningful insights out of it. These include Microsoft Excel, SQL and Python (particularly with the use of Pandas). A large part of my work also involves using the data to create comprehensive models based on the client, the project, the KPIs as well as the overall goals. These econometric models are built using custom software and give us a variety of insights on where clients should spend their money against their media activation to gain the most efficient revenues and ROIs. Some of my notable achievements in this role was to develop new and exciting modelling software for the purposes of auto-modelleling using a variety of statistical methods. I also worked with developers on building custom MMM modelling software, keeping particular focus on being memory efficient as well as cutting down on manual modelling time.
Recommendations
Education
  • Master of Science
    Queen Mary University of London
    2016
    Master in Science (MSci), Physics
  • A-Levels, Maths, Physics, Philosophy
    Dr Challoners Grammar School
    2012
    A-Levels, Maths, Physics, Philosophy