From Fresher to Data Engineer: Nishkala’s Inspiring Career Journey

Starting a career in the data industry can be challenging for fresh graduates who have limited practical experience and are unsure about the skills required by employers. Nishkala Sai, a B.Tech Computer Science graduate, faced a similar challenge after completing her degree. Although she had a basic understanding of data concepts, she was looking for the right direction to begin her career in IT.

Her learning journey at DataMites helped her build practical knowledge in SQL, Python, Excel, Power BI, and other data-related concepts. Through hands-on projects, assessments, doubt-clearing sessions, resume preparation, and mock interviews, she gradually developed the confidence to participate in real interviews. Her consistent preparation helped her secure an opportunity as an Azure Data Engineer with Confideo IT Services, making this DataMites Success Story an inspiring example for freshers aspiring to build a career in the data field.

Nishkala’s Journey: From Learning to Career Opportunity

Nishkala’s journey with DataMites Institute began with the aim of gaining practical knowledge and building a career in the data field. Through hands-on projects, trainer guidance, doubt-clearing sessions, and mock interviews, she strengthened her skills and confidence to pursue an opportunity in Data Engineering.

1. Can you tell us about yourself and your educational background?

My name is Nishkala Sai, and I completed my B.Tech in Computer Science. After completing my degree, I wanted to start my career in the IT industry. However, I had limited practical knowledge of data concepts and was not sure where to begin.

2. What challenges did you face before joining the DataMites Institute?

Before joining DataMites Institute, I had very little practical knowledge of data concepts. I wanted to build a career in IT, but I was not sure which skills I needed to learn or how to prepare for data-related roles.

3. How was your learning experience at DataMites Hyderabad?

I attended my sessions at the DataMites Hyderabad centre. Initially, some topics were difficult for me to understand. However, the trainers encouraged me to practice and explained that the concepts could become easier with consistent learning. Their support helped me improve my understanding.

4. How supportive were the trainers?

At first, I was hesitant to ask questions. But after interacting with the trainers, I became comfortable because they were friendly and approachable. Whenever I had doubts, I could discuss them with the trainers, and they encouraged me to keep practicing.

5. How many projects did you complete?

I completed three projects, including two functional projects and one client project. I worked on projects related to movies data, medical data history, and market analysis.

6. What did you learn from working on these projects?

The projects helped me understand how data concepts can be applied to practical problems. I worked with SQL and Python, and the projects also taught me how to approach problems and work through challenges.

7. How did doubt-clearing sessions help you?

Whenever I got stuck, I could attend the doubt-clearing sessions and discuss my questions with the trainers. They helped me understand my mistakes and find solutions. This was particularly useful while working with SQL, Python, and project-related tasks.

8. How did mock interviews help you prepare for real interviews?

I attended one mock interview, and it was very helpful. Since I was a fresher, I did not know exactly how companies expected candidates to answer questions. The mock interview helped me understand how to structure my answers and communicate my knowledge more effectively.

9. How did you prepare for your job interviews?

Interview preparation required consistent effort. I prepared the technical topics I had learned and practiced them regularly. Whenever I had doubts, I asked the trainers for guidance. The mock interview also helped me understand the overall interview process and prepare with more confidence.

10. How did you prepare your resume for data-related roles?

Before joining DataMites Institute, I did not know how to prepare a suitable resume for data-related roles. I received guidance on creating and organizing my resume and presenting my skills and projects effectively for job opportunities.

11. You initially took a Data Analyst course. How did you move toward data engineering?

I initially took the Data Analyst course. Later, I became interested in data engineering opportunities. Since there were some additional topics related to data engineering, I decided to explore that career path and attend interviews for data engineering roles.

12. What was your data engineering interview experience like?

The interview consisted of two rounds. In the first round, they asked about my introduction and basic questions related to SQL, Python, and data engineering concepts, including Data Factory. In the second round, I was asked to write SQL queries.

13. What professional opportunity did you receive after the interview?

I was selected for a training opportunity as an Azure Data Engineer with Confideo IT Services. I am currently in the training period, and I was informed that successful performance during the training period could lead to placement.

14. What was the biggest change you experienced during your learning journey?

The biggest change was my confidence. When I started, I had very little practical knowledge and was unsure about projects, resumes, and interviews. With practice, trainer support, project experience, and mock interviews, I became more confident about attending interviews.

Refer these articles : 

• From Fresher to Data Scientist: Sarumathi’s Success Story
• Jithin's Journey from Data Analyst to Data Engineer
• How Varun Built a Successful Career in Data Science

Key Takeaways from Nishkala’s Journey

Nishkala’s experience highlights several important lessons for fresh graduates planning a career in the data industry:

• Nishkala Sai, a B.Tech Computer Science graduate, started her journey with limited practical knowledge of data concepts.
• At DataMites, she developed skills in SQL, Python, Excel, and Power BI.
• Supportive trainers and doubt-clearing sessions helped her overcome challenges and improve her understanding.
• She completed three practical projects covering movies data, medical data, and market analysis.
• Mock interviews and resume preparation helped her understand interview expectations and present her skills confidently.
• Although she initially pursued Data Analyst training, she explored and prepared for opportunities in data engineering.
• Her interview included questions on SQL, Python, Data Factory, and data engineering, along with an SQL query-writing task.
• She was selected for a training opportunity as an Azure Data Engineer with Confideo IT Services.
• Her key advice to freshers is to practice regularly, attend classes consistently, complete projects sincerely, and keep learning.
• Her journey highlights how practical learning and consistent preparation can help freshers build confidence and pursue careers in the data field.

Refer these articles : 

• What is Certified Data Scientist Course?
• Is Data Science a Good Career for Freshers?
• Career Paths in Data Science: Roles and Responsibilities

Nishkala’s journey shows how consistent learning, practical projects, trainer guidance, and interview preparation can help freshers build confidence and move toward a career in data engineering. Her experience highlights the value of strong fundamentals, hands-on practice, and believing in yourself. 

Nishkala’s journey shows how practical learning, hands-on projects, and consistent preparation can help freshers build careers in the data industry. After completing her B.Tech in Computer Science, she developed practical skills in SQL, Python, Excel, and Power BI through her training at DataMites Institute. According to the U.S. Bureau of Labor Statistics, Data Scientist employment is projected to grow 36% from 2023 to 2033, with around 20,800 openings annually. With growing demand, Data Science, Data Engineering, Artificial Intelligence, Machine Learning, and Python are among the top IT courses for aspiring technology professionals.

Nishkala’s journey from a Computer Science graduate with limited practical knowledge to a data engineering opportunity was supported by structured learning at DataMites. Through hands-on projects, trainer guidance, doubt-clearing sessions, mock interviews, and resume preparation, she strengthened her skills in SQL, Python, Excel, and Power BI. If you’re exploring a Data Science institute in Hyderabad, a structured program can help you develop practical skills and prepare for growing opportunities in the data industry.

Whether you’re a fresher or an aspiring data professional like Nishkala, DataMites Institute offers structured learning to help develop practical, industry-relevant skills. With 50+ offline centres and online learning options, DataMites provides Data Science courses in Pune and training opportunities in Chennai, Hyderabad, Delhi, Mumbai, Coimbatore, Ahmedabad, Kolkata, Noida, Indore, Jaipur, Chandigarh, Kochi, Nagpur, and Bhubaneswar. Through hands-on projects, expert mentorship, internship opportunities, interview preparation, and IABAC® and NASSCOM FutureSkills® certifications, learners can prepare for careers in the data industry. Nishkala’s success story demonstrates how consistent learning, practical experience, and proper guidance can help freshers pursue opportunities in Data Science and Data Engineering.