Rifqi Farhan

Data Engineer at tink

Rifqi Farhan's work experience includes being a Junior Data Engineer at tink where they wrote SQL queries, supported and tuned them, and maintained and developed BI data pipelines. Rifqi also set up jobs in CI/CD tools and configured database management systems and cloud server instances. Prior to that, they worked as a Working Student - Engineering/Mechanical Design at LLA Instruments GmbH & Co. KG where they designed assemblies and components of spectrometers and cameras, created manufacturing documents in digital form, and performed conversion of mechanical design documents. Rifqi also had an internship at Continental in Diesel High Pressure Pump Development where they managed projects such as mechanical design assemblies, conducted tolerance analysis, and evaluated and corrected failed tolerance data. Rifqi'searlier experience includes an internship at PT. Palingda Nasional.

Rifqi Farhan's education history is as follows:

Rifqi Farhan attended Le Wagon in 2021, where they pursued a degree in Data Science with a focus on Computer Programming.

From 2018 to 2021, Rifqi Farhan studied at Hochschule für Technik und Wirtschaft Berlin and obtained a Master of Science (M.Sc) degree in Mechanical Engineering.

Prior to their Master's degree, Rifqi Farhan completed their Bachelor's degree in Mechanical Engineering at Hochschule für Technik und Wirtschaft Berlin from 2013 to 2017.

In 2012, Rifqi Farhan completed a Pre-University program at Hochschule für Technik und Wirtschaft Berlin, preparing him for higher education in Germany.

Apart from their formal education, Rifqi Farhan has also obtained various certifications. Some of these certifications include a Front-End Engineer Career Path certification from Codecademy, an AWS Certified Data Analytics Specialty 2022 - Hands On! certification from Udemy, and several certifications from Google Cloud Skills Boost, DataCamp, LinkedIn, and Coursera. These certifications cover a range of topics including cloud computing, data analytics, big data, machine learning, database design, and more.

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