About Me

Hello! I’m Adarsh Yadav, a passionate Data Engineer currently contributing my skills and expertise at Infosys. With a solid two years of experience in the dynamic realm of data engineering, I specialize in crafting robust data pipelines and executing seamless ETL (Extract, Transform, Load) activities.

Professional Journey: My journey in the data engineering domain has been both exciting and fulfilling. I have actively contributed to the creation of resilient data pipelines, ensuring the smooth flow of information within complex systems. Working in the dynamic environment at Infosys has allowed me to refine my skills and stay at the forefront of emerging trends in the data landscape.

Key Expertise:

Data Pipeline Development: I excel in designing and implementing robust data pipelines that are both efficient and scalable.
ETL Mastery: My proficiency in Extract, Transform, Load activities ensures accurate and meaningful data transformations, laying a strong foundation for informed decision-making.

Passion for Innovation: Driven by a passion for innovation, I continuously seek opportunities to leverage cutting-edge technologies in the data engineering space. I thrive in problem-solving scenarios and am always eager to explore new ways to optimize data workflows for enhanced performance.

Beyond Work: Outside the realm of data engineering, I am an avid traveler and passionate blogger, reflecting my diverse interests and a well-rounded personality.

I invite you to connect with me to explore the exciting world of data engineering and discuss potential collaborations. Feel free to reach out, and let’s embark on a data-driven journey together!

Experience

System Engineer Trainee

Infosys

JUN/22 - OCT/22

Attended the world class Trainning

System Enginner

Infosys

OCT/22 - Present

Working as DATA ENGINEER

My Skills

SQL 90%

Py-Spark 80%

Python 81%

Mastering PY-SPARK

For me, data is a playground, and Apache Spark is my favorite toy! From raw bytes to meaningful insights.

I’ve explored and summarized my learnings on Apache Spark, making it easier for others to dive into Data Engineering. Check it out and spark your learning journey!"