Datatonic
Yadvendra Bhadauria has work experience in various roles and companies. From October 2021 to the present, they worked at Datatonic as an Analytics Engineer. Before that, from October 2021 to October 2022, they held the position of Associate Analytics Engineer at the same company. In June 2021, they interned at Bright Network where they gained problem-solving skills from Vodafone, EY, and Google, focusing on the importance of clean code and working at scale. Yadvendra also worked at UFLEX Group as a Production Engineer from July 2017 to September 2020, where they were responsible for producing polyester films, analyzing machine downtime reports, and implementing effective work practices to increase plant stability.
Yadvendra Bhadauria's education history includes a Master of Science (MS) degree in Business Analytics from the University of Exeter Business School, which they pursued from 2020 to 2021. Prior to this, they attended GLA University from 2013 to 2017, where they obtained a Bachelor of Technology (BTech) degree in Mechanical Engineering.
In addition to their formal education, Yadvendra has obtained several certifications. Yadvendra completed the "ETL and Data Pipelines with Shell, Airflow and Kafka" certification from IBM in December 2021. In November 2021, they obtained the "IBM certified Linux Commands and Shell scripting" certification, also from IBM. Yadvendra has also obtained certifications in SQL programming, including "Learning SQL Programming," "SQL Essential Training," "SQL for Exploratory Data Analysis Essential Training," and "SQL: Data Reporting and Analysis," all from LinkedIn, in October 2021. Furthermore, they received the "SETsquared Partnership IKEEP Programme Intrapreneurial Training Award" certification from Credly in March 2021. Most recently, in June 2022, Yadvendra earned the "Google Cloud Certified Professional Data Engineer" certification from Google.
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Datatonic
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Datatonic, 4 x Google Cloud Partner of the Year, helps leading companies make better business decisions with the power of Modern Data Stack and MLOps. We work with clients to deepen their understanding of consumers, increase competitive advantages, and unlock operational efficiencies by building a solid cloud foundation and accelerating high-impactanalytics and machine learning use cases. Our team specialise on Google Cloud Platform, share a passion for data, and believe in a pragmatic approach to solving hard problems.