Transfotech Academy provides well-organized online Data Engineering (Fullstack) training. This training will help data professionals at all stages of their careers. Our training program will allow beginners to increase their skills and confidently pursue their careers in data analytics. Enroll and catch USA’s best demanding job.
We provide an individual dashboard for each and every student of ours. It will help you track down all of your classes, materials and progress.
You can attend our class online in your own comfort. The classes will be live. You can engage efficiently during online classes.
If you miss out on anything during our online training, you can easily access our recorded classes and keep up with the rest.
An organized resume can easily get you your targeted job. Our training online classes will assist you to build a standard job resume.
An interview is a gateway to getting a job. It is very crucial for landing a good job. Transfotech will also help you prepare for your interview.
This online program of ours is very easy to register for. Your desired job is just a few clicks away.
Data Engineering (Fullstack) is transforming every industry with AI-driven insights. This course equips you with the essential tools, techniques, and workflows to thrive in the high-demand world of data analytics. From hands-on labs to career-ready projects, you’ll be prepared to analyze, automate, and innovate in today’s data-powered landscape.
With over a decade of experience, Fayek specializes in software testing and quality assurance at top companies like Veruna Inc. and OUTFRONT Media. His expertise in QA automation and agile methodologies has delivered impactful results. Passionate about mentoring, he is committed to shaping the next generation of QA Engineers.
Ryana Quadir is an AI/ML researcher and experienced Software Quality Engineering professional with over 12 years of experience in QA, test automation, and data analytics. She has held roles at leading organizations such as Samsung Research and Development and Stibo DX, where she focused on building scalable, data-driven solutions. She has been affiliated with Charles Darwin University, contributing to research in AI and machine learning, with publications in multiple Q1-ranked journals. Alongside mentoring aspiring data professionals and QA engineers, she earned an M.Sc. in Computer & Information Systems from University of Michigan–Dearborn, further strengthening her academic and technical foundation.
