After seven years as an application developer, Shraddha joined DSTI to follow the Applied MSc in Data Engineering for AI.
Her background, why DSTI and the choice of Data Engineering programme, the missions she is in charge of in her company… here is the spotlight on Shraddha Lokhande, a data engineering student at DSTI.
Before joining DSTI, I spent seven years as an application developer. I started with mobile app development and gradually progressed to backend programming, where I primarily worked with Microservices, REST APIs, Spring Batch, Spring MVC,
Event Driven Architecture and other technologies. Later, I began seeking for a change as well as a short sabbatical from employment to further my education. I was already mostly engaged with data. I opted to pursue a master’s degree, which will
coincide with my expertise and allow me to return to work sooner.
DSTI has been an unforgettable experience for me. Despite the fact that I was an experienced engineer, there were a plethora of learning opportunities. The Data Engineering course was a good blend of fundamental and advanced technology. Additionally, I was quite pleased with the teaching and support staff at DSTI. Besides this, DSTI is a diverse global institute. I met a lot of intelligent and brilliant individuals from various ages, which has been motivating by and of itself. Many of the students had a deep understanding of various industries, and having them as my classmates was indeed an incredible experience. My overall DSTI experience gave me the feeling that my career path is progressing in the right direction.
I first became familiar with cloud technology at DSTI, where my career is currently doing really well. The cloud course provided me with the fundamental knowledge I needed to launch a career in the cloud. I am currently employed with Google Cloud as a Cloud Data Architect. As a Data Architect, I typically work on shifting Google’s clients’ massive data workloads to Google Cloud, and that’s where DSTI courses such as Data Pipeline, Hadoop, Spark, Kafka, and DevOps come in handy.
As an experienced engineer, courses like SQL Wrangling and Python boosted my conceptual grasp. Advanced lessons taught me the essential skills for modern technologies. Keep an open mind, since even if you believe you know most of the stuff, you will be surprised to learn a lot of new things. This is something I would recommend doing. Most importantly, don’t forget to put in your own work. Also, remember to have fun with your classmates and take full advantage of DSTI’s diverse and rich culture.
Empower Your Future in Data Engineering and AI with DSTI’s Exclusive Scholarship for Indian Students! A unique opportunity to advance your career with a scholarship of 10% on the tuition fee of the first year for the Autumn 24 intake. Apply Now Why Choose DSTI for Your Data Engineering Journey?
DSTI will host an Open Day for its Applied Bachelor program on 10 July 2024. This event, from 2 PM to 8 PM, offers an insight into the world of data and AI. Sébastien Corniglion, CEO and Professor at DSTI, will lead the event, including a practical workshop on ‘Data
On 10 July 2024, DSTI is hosting an Open Day for the Applied MSc program. This event includes an actual class lecture on ‘Software Engineering’, a session about starting careers in data, and a practical workshop on ‘Data & AI’. CEO and Professor Sébastien Corniglion will lead the event. It
DSTI – School of Engineering
Private Higher Education Institution
As a front-runner in data and AI in France, DSTI offers an Applied Bachelor holding RNCP 6 accreditation. Our Applied MSc hold RNCP 7 accreditation. Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming quality of processes.
The Data ScienceTech Institute (DSTI) has formed strategic partnerships and affiliations with a number of key organisations, including the likes of AWS, SAS, Microsoft, Arts et Métiers, and 3IA Côte d’Azur. These partnerships are vital because they help keep our syllabus current and our resources updated. With these partners, we are better equipped to support our students as they advance their careers in data.
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Attend two seperate Open Day sessions: one in English and another in French.