As a Campus Executive at Celebal Technology, I held a key role in the organization, overseeing various campus-related activities and initiatives. Some of your achievements in this role may include: Campus Recruitment: Successfully coordinated and executed campus recruitment drives, attracting top from various universities and colleges. I played a pivotal role in identifying and selecting candidates who aligned with the company's requirements and values. Employer Branding: Actively contributed to enhancing the employer brand of Celebal Technology among students and educational institutions. Through various strategies such as campus events, presentations, and partnerships, I helped position Celebal as an attractive employer and promoted its values, culture, and opportunities. Campus Engagement: Developed and maintained strong relationships with universities, professors, and student organizations to foster a positive and collaborative campus environment. I organized workshops, guest lectures, and other engagement activities that provided valuable insights and learning opportunities for students. Internship Programs: Spearheaded the design and execution of internship programs at Celebal Technology. collaborated with various departments to create meaningful internship experiences for students, allowing them to gain hands-on exposure to real-world projects and technologies. Regarding my current internship in the data engineering domain at Celebal Technology, here are some skills and experiences I have gained: Pyspark: Demonstrated proficiency in working with PySpark, a Python library for distributed data processing. utilized its capabilities for data manipulation, transformation, and analysis, contributing to the development of data pipelines and workflows. SQL: Developed a strong command of SQL (Structured Query Language), using it to retrieve and manipulate data stored in databases. understanding of SQL allowed to write efficient queries and perform complex data operations. Python: Leveraged Python programming language to implement data engineering solutions. utilized Python's libraries and frameworks for data processing, scripting, and automation tasks, ensuring efficient and scalable data workflows. Airflow: Gained hands-on experience with Apache Airflow, an open-source platform for orchestrating and scheduling data pipelines. You utilized Airflow to define and manage workflows, ensuring the smooth and reliable execution of data processing tasks.